This document provides a high-level summary of GraalVM and its capabilities for running applications and languages on the Java Virtual Machine. Specifically, it discusses how GraalVM allows running JavaScript, Python, Ruby, R, Java and C/C++ efficiently on the JVM through projects like Truffle and Substrate. It also summarizes GraalVM's polyglot capabilities for interoperability between languages and ahead-of-time compilation of Java into native binaries.

1. POLYGLOT
WITH
GRAALVM
O S C O N 2 0 1 9 / M I C H A E L H U N G E R / @ M E S I R I I

2. MICHAEL
HUNGER
Caretaker General,
Neo4j
Head of Neo4j Labs
Disturber of the Peace
Java Champion
(graphs)-[:ARE]->(everywhere)
Twitter & Medium: @mesirii

3. WRITING
ABOUT
GRAAL
SINCE
2014

4. WARNING:
WHIRLWIND
TOUR
DONT‘T
READ THE
CODE

5. POLYGLOT?
NOT EVERYONE IS A JAVA
DEVELOPER!

6. POLYGLOT?
We have:
• Isn‘t the JVM already polyglot?
–Scala, Groovy, Kotlin, Clojure,
Frege …
–JRuby, Jython, … L
We want:
• More languages, better
performance

7. WHY SHOULD I
CARE?

8. WHATS IN
FOR ME?• Better JVM performance
• Maintainable JIT compiler
• Faster evolution of Java
• With Truffle Language Runtime
–Run JavaScript, Ruby, R, Python,
LLVM code efficiently on the JVM
• With Substrate VM
–Binaries for Language Runtimes
–AOT compiled native images of
your applications
Lego box

9. GETTING
STARTED
WHO READS THE
INSTRUCTIONS

10. HOW CAN
I USE IT?• Dedicated GraalVM Download
or using sdkman
gu (graal-updater) Utility
js/node, ruby, python, R runtimes
native-image tool
• Java 11 with command line flags
-XX:+UnlockExperimentalVMOptions
-XX:+EnableJVMCI -XX:+UseJVMCICompiler
https://www.graalvm.org/downloads/

11. JAVA 11
sdk use java 11.0.1-open
java -Diterations=3
CountUppercase
I‘m happy to be back in Portland,
OR for OSCON 2019
-XX:+UnlockExperimentalVMOptions
-XX:+UseJVMCICompiler
-Dgraal.PrintCompilation=true

12. GRAALVMsdk install java 19.1.0-grl
gu install R python ruby native-image
gu list
ComponentId Version Component name
-----------------------------------
graalvm 19.1.0 GraalVM Core
R 19.1.0 FastR
native-image 19.1.0 Native Image
python 19.1.0 Graal.Python
ruby 19.1.0 TruffleRuby
java –version
OpenJDK 64-Bit GraalVM CE 19.1.0 (build
25.212-b03-jvmci-20-b04, mixed mode)
Lego Instructions built

13. PYTHON
# graalpython fac.py 2500
import sys
def fac(n):
if n==1: return 1
else: return fac(n-1)*n
x = int(sys.argv[1])
print("Factorial for {} is {}"
.format(x,fac(x)))

14. LLVM
BITCODE#include <stdio.h>
int main() {
printf("Hello from
GraalVM!n");
return 0;
}
clang -c -O1 -emit-llvm hello.c
lli hello.bc

15. R PLOTTINGR --version:graalvm
data <- "https://raw.githubusercontent.com/selva86/datasets/master/proglanguages.csv"
library(ggplot2)
library(treemapify)
proglangs <- read.csv(data)
ggplot(proglangs,
aes(area = value, fill = parent,
label = id, subgroup = parent)) +
geom_treemap() +
geom_treemap_subgroup_border() +
geom_treemap_subgroup_text() +
geom_treemap_text()

16. JS POLYGLOT
node --version:graalvm
node --jvm
const BigInteger =
Java.type("java.math.BigInteger")
let a = new BigInteger("10")
.add(new BigInteger("8")
.multiply(new BigInteger("4")))
console.log(a.toString())
> 42

17. GRAAL
COMPILER
OPTIMIZING COMPILER
IN JAVA

18. VISION STATEMENT
Create an extensible, modular, dynamic,
and aggressive compiler using object-
oriented and reflective Java programming, a graph-
based and visualizable intermediate representation,
and Java snippets.
—ThomasWürthinger

19. G R A A L ! ?
• JIT-Compiler implemented in Java !?!
• Aggressively optimizing
–e.g. inlining POJOS/DTOS
–Inlining streams
–Speeds up many typical Java/Scala
programs
• Uses compute graph for
optimization
• New compiler interface (JVMCI)

20. GRAAL COMPILER OPTIMIZATIONS

21. GRAALVM
BOX OF JOY
GRAAL ❤ TRUFFLE ❤ SUBSTRATE

22. GraalVM is a high-performance,
embeddable, polyglotVirtual Machine for
running applications written in JavaScript,
Python, Ruby, R, JVM-based languages like
Java, Scala, Kotlin, and LLVM-based
languages such as C and C++.
Additionally, GraalVM allows efficient
interoperability between programming
languages and compiling Java applications
ahead-of-time into native executables for
faster startup time and lower memory
overhead. https://github.com/oracle/graal/releases
BIGGER ON
THE INSIDE

24. • Collection of Research Projects
– TruffleRuby / FastR
• Maxine (Research)VM in Java
• „A Joke?“
• „Java-on-Java“ John Rose
– Project Metropolis
• Power Combo:
– Substrate-VM
– Truffle
– Graal Compiler
– AOT Compilation
HISTORY

25. GRAALVM
• Oracle Labs Project
• Versions
– 19.1.1 (quarterly release)
• Integrated
– JVM 1.8.x
– Node.js 10.x / ECMAScript 2019
– LLVM bitcode runtime
• Supports
– Truffle Runtime
– Language Packs (via gu)
– Native Image AOT
• Editions
– Community (GPL v2 w/ CP-Exception
– Enterprise (faster, sandboxing, commercial
support)
– Oracle Database Engine

26. NATIVE IMAGE
MACHINE CODE BABY

27. NATIVE
IMAGE
• Aggressive Ahead of time compilation (AOT)
• Extremely fast startup time
• Small binary executables for current OS
• Class initialization during build
• For FaaS, Commandline
• Microservices: Micronaut, Helidon, Quarkus,
Spring (soon)
• No classloading / class metadata
• Limitations:
– no reflection, no later classloading, no initializer
dynamics
– Slow build
https://medium.com/graalvm/lightweight-cloud-native-java-applications-
35d56bc45673

28. TRUFFLE
L A N G U A G E R U N T I M E

29. TRUFFLE
• Language Runtime
• API & Type system
• Implement language constructs
• Annotated Java Methods
– Tooling,Testing
• Generic or specialized operations

30. TRUFFLE +
GRAAL

31. TRUFFLE
GRAAL• Integrates with Graal Compiler
• Partial Evaluation
• Optimize special cases based on
steady state assumption
• Deoptimize (trap) on failed
assumptions

32. SAMPLE
LANGUAGE
T R U F F L E E X A M P L E L A N G U A G E

33. TRUFFLE: ADDITION-NODE (SL)
@NodeInfo(shortName = "+")
public abstract class SLAdditionNode extends SLBinaryNode {
@Fallback
protected Object typeError(Object left, Object right) {
throw SLException.typeError(this, left, right); }
@Specialization(rewriteOn = ArithmeticException.class)
protected long add(long left, long right) {
return Math.addExact(left, right);
}
@Specialization @TruffleBoundary
protected SLBigNumber add(SLBigNumber left, SLBigNumber right) {
return new SLBigNumber(left.getValue().add(right.getValue()));
}
@Specialization(guards = "isString(left, right)") @TruffleBoundary
protected String add(Object left, Object right) {
return left.toString() + right.toString();
}
protected boolean isString(Object a, Object b) {…}

34. LANGUAGES
BOX OF COLORS

35. JAVASCRIP
T
• Main target language via graaljs
• Replacement for Rhino/Nashorn
• EcmaScript 2019 & Node.js
(10.15.2) compat
• 90% of 95k npm packages
• Graaljs can run slowly w/o Graal
• ScriptEngine support
• org.graalvm.js:js/js-scriptengine
https://www.graalvm.org/docs/reference-manual/languages/js/

36. GRAAL
PYTHON
• Early stage support Python 3.7
• Goal: „SciPy“ support
• No python debugger, but
GraalVMs
https://www.graalvm.org/docs/reference-manual/languages/python/

37. FAST-R
• Compatible with GNU R (3.5.1)
• Much faster than other R
implementations
• R/Rscript
• Install packages (e.g. ggplot2, Shiny)
• Minimal: graphics package
• Compatibility checker
• Tools (debugger, profiler)
• Java based Graphics
https://www.graalvm.org/docs/reference-manual/languages/r/

38. TRUFFLE
RUBY
• Initial research project
• Quite complete coverage (2.6.2)
incl. c-extensions
• Parallel threads
• Faster than MRI/JRuby (up to 31x)
• Recent: fibers
• Missing: suspend, continuation, fork
https://www.graalvm.org/docs/reference-manual/languages/ruby/

39. LLVM
• LLVM 6.0.0 Bitcode
• Via Sulong a LLVM implementation
in Java via Truffle
• Can use native libraries
• lli to execute LLVM Bitcode
• Sandbox in GraalVM Enterprise
– sandbox libraries
– virtualize syscalls
– memory on managed heap
https://medium.com/graalvm/safe-and-sandboxed-execution-of-
native-code-f6096b35c360

40. POLYGLOT
DO WHAT YOU WANT
THURSDAY

41. TRUFFLE
• Based on Truffle Implementations
of dynamic languages
• Joint underlying API / Typesystem
• Context
– eval
– bind
– invoke
• Source
• Value.*
docs.oracle.com/en/graalvm/enterprise/19/sdk/org/graalvm/polyglot/Context.html

42. VALUE
• The „Any“ type across languages
– Scalar
– List/Array
– Host/Proxy Object w/ Members
– Function/Invoke/Executable
• Provides some semantics and
conversions
• Removes need for (de)serialization
• Thread safety depends on language
support
docs.oracle.com/en/graalvm/enterprise/19/sdk/org/graalvm/polyglot/Value.html

43. CAPABILITIES
Polyglot support: --polyglot
Eval
• Polyglot.eval("python","21*2")
• polyglot.eval(language="ruby",
file="./my_ruby_file.rb")
Export / Import
• polyglot.import_value(„name“)
• Polyglot.export_value(„name“,value)
• ctx.getBindings.put/getMember(name,value)
Object Access
• Object.size() / call / invoke
• Object[name] /
• Via Value.*

44. JAVA INTEROP
JVM Support: --jvm Flag
Import
Java.import “java.util.UUID“
java.type("java.math.BigInteger")
from java.util import ArrayList
Helpers
• isFunction / isObject / isSymbol / isNull
/ instance_of
Access
• allow<Host/Native/Polyglot/*>Access

45. POLYGLOT
EXAMPLES

46. POLYGLOT EXAMPLE (1)
// gu install ruby python R
// groovy PolyTest1.groovy
@Grab("org.graalvm.sdk:graal-sdk:19.1.0")
import org.graalvm.polyglot.*
ctx = Context.newBuilder().allowAllAccess(true).build()
ctx.eval("js", "print('Hello JavaScript!');")
ctx.eval("R", "print('Hello R!');");
ctx.eval("ruby", "puts 'Hello Ruby!'");
ctx.eval("python", "print('Hello Python!')");

47. POLYGLOT EXAMPLE (PYTHON-JAVA)
import java
generic = java.type('org.testcontainers.containers.GenericContainer')
container = generic('nginx')
container.setExposedPorts([80])
container.start();
print('%s:%s' % (container.getContainerIpAddress(),
container.getMappedPort(80)));
https://medium.com/graalvm/using-testcontainers-from-a-node-js-application-3aa2273bf3bb

48. POLYGLOT EXAMPLE (C)
#include <stdio.h>
#include <curl/curl.h>
long request() {
CURL *curl = curl_easy_init();
long response_code = -1;
if(curl) {
CURLcode res;
curl_easy_setopt(curl, CURLOPT_URL, "http://example.com");
res = curl_easy_perform(curl);
if(res == CURLE_OK) {
curl_easy_getinfo(curl, CURLINFO_RESPONSE_CODE, &response_code);
}
curl_easy_cleanup(curl);
}
return response_code;
}

49. POLYGLOT EXAMPLE (JAVA+C-LLVM)
// clang -c -O1 -emit-llvm use-curl.c && groovy CurlTest.groovy
@Grab("org.graalvm.sdk:graal-sdk:1.9.10")
import org.graalvm.polyglot.*
polyglot = Context.newBuilder()
.allowAllAccess(true)
.option("llvm.libraries", "/usr/lib/libcurl.dylib")
.build()
source = Source
.newBuilder("llvm", new File("use-curl.bc"))
.build()
result = polyglot.eval(source)
responseValue = result.getMember("request").execute()
responseCode = responseValue.asLong()
print(responseCode)

50. R+PYTHON
pycode <-
‚
library polyglot
PI=polyglot.import("PI")
def area(radius):
return 2*radius*PI
area
'
export("PI",pi)
area <- eval.polyglot("python",pycode)
print(area(5))

51. JAVA+R
@Value(value = "classpath:plot.R") private Resource rSource;
@Autowired private Function<DataHolder, String> plotFunction;
@Bean
Function<DataHolder, String> getPlotFunction(@Autowired Context ctx) {
Context ctx = Context.newBuilder().allowAllAccess(true).build();
Source source = Source.newBuilder("R", rSource.getURL()).build();
return ctx.eval(source).as(Function.class);
}
@RequestMapping(value = "/load", produces = "image/svg+xml")
public synchronized ResponseEntity<String> load() {
HttpHeaders responseHeaders = new HttpHeaders();
responseHeaders.set("Refresh", "1");
double load = getOperatingSystemMXBean().getSystemLoadAverage();
String svg = plotFunction.apply(new DataHolder(load));
return new ResponseEntity<String>(svg,responseHeaders,HttpStatus.OK);
}

52. POLYGLOT EXAMPLE (JAVA+R)
library(ggplot2)
data <<- numeric(100)
function(dataHolder) {
svg()
data <<-
c(data[2:100],dataHolder$value)
plot <- ggplot(data=
data.frame(systemLoad=data,
time =-99:0),
aes(x=time, y=systemLoad, group=1)) +
geom_line(color="orange") +
expand_limits(x=0, y=0)
print(plot)
svg.off()
}

53. POLYGLOT SHELL
Context context = Context.newBuilder().allowAllAccess(true).build();
Set<String> languages = context.getEngine().getLanguages().keySet();
out.println("Shell for " + languages + ":");
String language = languages.iterator().next();
while (true) {
out.print(language + "> ");
String line = input.readLine();
if (line == null) break;
else if (languages.contains(line)) language = line;
else {
Source source = Source.newBuilder(language, line, "<shell>")
.interactive(true).buildLiteral();
context.eval(source);
}
}

54. POLYGLOT
OPTIONS
Print GraalVM version information and exit.
--version:graalvm
Print GraalVM version information and continue execution.
--show-version:graalvm
Start with Debugger
--inspect
Run using the native launcher with limited Java access
--native
Run on the JVM with Java access.
--jvm
Run with all other guest languages accessible.
--polyglot
Pass options to the host VM
--vm.[option]
Options for all installed languages, tools, host VM
--help:languages,tools,vm,expert
Internal options for debugging language impl and tools.
--help:internal

55. TOOLING
MAKING OUR LIFES EASIER

56. DEBUGGER

57. CUSTOM JVISUALVM

58. IDEAL VISUALIZER

59. EXTENDING
DATABASES
MORE POWER TO THE
MACHINE

60. WHY?
• Allow “programmatic“ extensions
• Move processing to data, avoid network
transfers
• Not just procedures in
– PL/SQL
– Java
• Reuse existing code
– public packages (e.g. validators, data
science, visualization)
– domain specific code
• Because you can!

61. EXTENDING
DATABASES• „Multilingual Engine“
– native library integration
• Available from Oracle Labs
• For Oracle and MySQL
• Deploy custom functions in JavaScript,
R, Python with dbjs
dbjs deploy -u <user> -p <pass>
-c localhost:1521/ORCLCDB <package>
• Create statically and call from SQL
https://www.graalvm.org/docs/examples/mle-oracle/

62. SQL FUNCTION IN JAVASCRIPT
CREATE OR REPLACE JAVASCRIPT SOURCE NAMED "hello.js" AS
module.exports.greet = function(a) { return "Hello " + a; };
CREATE OR REPLACE FUNCTION greet(a IN VARCHAR2) RETURN VARCHAR2 AS
LANGUAGE JAVASCRIPT NAME 'hello.js.greet(a string) return string‘;
SELECT greet('GraalVM') FROM DUAL;
Hello GraalVM

63. NEO4J
(GRAPHS)-[:ARE]->(EVERYWHERE)

64. NEO4J IN
A TWEET@Neo4j is an open-source native
graph database designed to store,
manage and query highly connected
data efficiently with the Cypher
Query Language.
It runs transactional and analytic
workloads, supports visualization
and is extendable with custom
functions.
neo4j.com/developer

65. NEO4J
• Runs on the JVM
• Full Stack database
• Declarative Graph Query
Language
• Binary Protocol
• Drivers for most languages
• Visual Browser
• Integrations like GraphQL, Kafka
• Custom Procedures and Functions

66. OSCON CONFERENCE GRAPH
https://github.com/neo4j-examples/oscon-graph

67. TALK RECOMMENDATION
// top 10 talks (that I‘ve not see)
// that peers who like the same talks I did also liked
MATCH (me:User {name:“Michael“})
-[:FAVORITED]->(:Event)<-[:FAVORITED]-(peer:User)
-[:FAVORITED]->(reco:Event)
WHERE NOT (me)-[:FAVORITED]->(reco)
RETURN reco.name, count(*) AS freq
ORDER BY freq DESC LIMIT 10

68. TALK RECOMMENDATION

69. NEO4J
CUSTOM
PROCEDURES
P U T YO U R S M A RT S I N T H E DATA B A S E

70. NEO4J
CUSTOM
FUNCTIONS• Annotated Java Methods
• Loaded at startup
• Computation or Aggregation
with Functions
• Data processing & streaming with
Procedures
• Accessible from Cypher Query
Language

71. CUSTOM FUNCTION
@UserFunction
@Description(„Generates an UUID“)
public String uuid() {
return UUID.randomUUID().toString();
}
CREATE (:Event {id: uuid(),
name:“Graph Algorithms“ });

72. POLYGLOT
FUNCTIONS
U S I N G T R U F F L E A P I S & G R A A L V M

73. POLYGLOT
FUNCTIONS
• Using Truffle API
• Declare + invoke function with
params, or
• Execute code with bindings
1. Use Context to run polyglot code
2. Use Cypher to declare dynamic
language functions
3. Install language files from directory
4. Store code in db to restore at
restart / in cluster

74. EVAL CODE
A D H O C E X E C U T I O N

75. EVAL CODE PROCEDURE
@Procedure(„scripts.execute“)
public Object executeCode(String lang, String code,
Map<String,Object> props) {
Context ctx =
Context.newBuilder().allowAllAccess(true).build();
Bindings bindings = ctx.getBindings();
props.forEach(bindings::putMember);
bindings.putMember("label",
ctx.eval("js", "s => org.neo4j.graphdb.Label.label(s)"));
bindings.putMember("db", graphDatabase);
return ctx.eval(lang, code).asHostObject();
}

76. E VA L C O D E

77. EVAL CODE
CALL scripts.execute('
Java.import "org.neo4j.graphdb.Label
db = Polyglot.import("db")
props = db.findNode(Label.label("Event"),
"name",“OSCON")
.getAllProperties().entrySet().toArray()
Polyglot.as_enumerable(props)
.map{|e| "#{e.getKey()} -> #{e.getValue()}"}
.join(",")
',{},'ruby')

78. REGISTER
FUNCTIONS
DY N A M I C A L LY

79. INSTALL FUNCTION (2)
Context ctx =
Context.newBuilder().allowAllAccess(true).build()
@Procedure(„scripts.register“)
public void registerFunction(String lang,
String name, String code) {
Value function = ctx.eval(lang, code);
ctx.getBindings(lang)
.putMember(name, function);
}

80. INVOKE EXISTING FUNCTION (2)
@UserFunction(„scripts.run“)
public Object executeFun(String lang,
String name, Object…args) {
return ctx.getBindings(lang)
.getMember(name)
.execute(params).asHostObject();
}

81. REGISTER NATIVE FUNCTION (2)
@UserFunction
public void registerFunction(String code, String name, String lang) {
ctx.getBindings(lang).putMember(name, ctx.eval(code));
procedures.register(new BasicUserFunction(signature(name)) {
@Override
public AnyValue apply(org.neo4j.proc.Context c, AnyValue[] input) {
return resultOf(context.getBindings(lang).getMember(name)
.execute(paramsFor(input)));
}
});
}

82. SCRIPT
DIRECTORY
A U TO L O A D S C R I P T F I L E S

83. SOURCE WATCHER
watchService = FileSystems.getDefault().newWatchService();
pathName = new File(scriptsDir, target.getDirName())
pathToWatch = getTargetPath(pathName);
pathToWatch.register(watchService,
ENTRY_CREATE,ENTRY_DELETE, ENTRY_MODIFY);
public void run() {
WatchKey watchKey;
while ((watchKey = watchService.take()) != null) {
for (WatchEvent<?> event : watchKey.pollEvents())
updateScript(event.kind(), event.context());
}
}

84. IMPLEMENT SCRIPT FUNCTION (1)
public class ScriptFunction implements CallableUserFunction {
private final UserFunctionSignature signature;
private final String name;
private final String sourceCode;
private transient volatile Source source;
public ScriptFunction(String language, String name, String sourceCode) {
this.name = name;
this.sourceCode = sourceCode;
this.source = Source.newBuilder(this.language, this.sourceCode, this.name).build();
this.signature = generateSignature();
}
private UserFunctionSignature generateSignature() {
final QualifiedName qualifiedName = new QualifiedName(Arrays.asList("scripts", "fn"), name);
final List<FieldSignature> input = IntStream.range(0, numberOfArguments);
.mapToObj(i -> FieldSignature.inputField("p" + i, NTAny, DefaultParameterValue.nullValue(NTAny)))
.collect(toList());
return new UserFunctionSignature(qualifiedName, input, NTAny, null, new String[0], null, false);
}

85. IMPLEMENT SCRIPT FUNCTION (2)
@Override
public AnyValue apply(Context ctx, AnyValue[] input) throws ProcedureException {
try (org.graalvm.polyglot.Context context = PolyglotContext.newInstance()) {
GraphDatabaseAPI db = ctx.get(Context.DATABASE_API);
Log log = ctx.get(Context.DEPENDENCY_RESOLVER).resolveDependency(LogService.class)
.getUserLog(ScriptFunction.class);
Value bindings = context.getPolyglotBindings();
bindings.putMember("db", db);
bindings.putMember("log", log);
Value langBindings = context.getBindings(language);
langBindings.putMember(name, context.eval(source));
return resultFor(langBindings.getMember(name).invoke(input));
}
}

86. IMPLEMENT SCRIPT FUNCTION (3)
private AnyValue resultFor(Value result) {
if (result.isNull()) {
return null;
}
if (result.isNumber()) {
return ValueUtils.asAnyValue(result.asDouble());
}
if (result.isBoolean()) {
return ValueUtils.asAnyValue(result.asBoolean());
}
if (result.isHostObject()) {
return ValueUtils.asAnyValue(result.asHostObject());
}
return ValueUtils.asAnyValue(result.asString());
}

87. NEXT STEPS

88. NEXT
STEPS• Better bi-directional conversions
• Handle Isolation / Threading
• Integrate with Python / R ~
– Graph processing / algorithms
– Data Science / ML / graph_net
– Large Scale Plotting
– Investigate GraphBlas (C-Library)
• Allow installing packages (e.g npm)
• Move into Neo4j Labs library

89. THE GOOD
AND EXCELLENT

90. THE GOOD
• It works!
– All the languages
– JVM Interop
– Polyglot Interop
• Continuous improvements by the
Oracle Team
• Lots of great docs & articles
• Adding those database extensions
was really easy

91. THE BAD
AND UGLY

92. THE BAD
• Python support still preliminary
• Too many polyglot indirections are
costly
• Interop a bit kludgy
• Error messages not that helpful
• No automatic mapping of
collection types (map/hash/dict)
and (list/collection) – only for
arrays

93. FIND MORE
ALL THE THINGS

94. MORE• graalvm.org
• graalvm.org/docs
• medium.com/graalvm
~/graalvm-ten-things-12d9111f307d
• github.com/oracle/graal
• graalvm.org/docs/reference-manual/compatibility –
package compat checker
• youtu.be/a-XEZobXspo – 3hr deep dive
• neo4j.com/developer
• r.neo4j.com/algo-book
• github.com/neo4j-contrib/neo4j-script-procedures
Twitter & Medium: @mesirii

95. Graphs in AI and ML
Alicia Frame, Senior Data Scientist, Neo4j
Jake Graham, Lead Product Manager for AI and Graph Analytics
Intro to Neo4j for Developers
Jennifer Reif, Developer Relations Engineer, Neo4j
Neo4j Bolt Driver Architecture Now and inThe Future
Nigel Small,Tech Lead for Neo4j Drivers team
GRANDstack: Graphs ALL the Way Down
William Lyon, Software Engineer, Neo4j Labs
All-new SDN-RX: Reactive Spring Data Neo4j
Gerrit Meier, Software Engineer, Neo4j
Graph Embeddings
Alicia Frame, Senior Data Scientist, Neo4j
Graph ModelingTips andTricks
Max De Marzi, Field Engineer and Graph Expert, Neo4j
APOC Pearls -The bestTips andTricks
Michael Hunger, Director of Neo4j Labs
Visualizing Graph Data in JavaScript
Will Lyon, Software Engineer, Neo4j Labs
Creating a Data Marvel (Comics) with Spring and Neo4j
Jennifer Reif, Developer Relations Engineer, Neo4j
Keynote and Announcements
Emil Eifrem, CEO and Co-Creator of Neo4j
October 10
8am NYC, 1pm London, 530pm Mumbai

96. PLEASE RATE MY SESSION

97. THANK YOU!
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