The document outlines various distributions and variants of Apache Cassandra, highlighting its scalability, high availability, and fault tolerance for mission-critical data. It mentions platforms and services like Datastax Enterprise, Scylla, and managed options such as Datastax Astra and Amazon Keyspaces, emphasizing their capabilities for cloud applications and performance. Additionally, it provides insights into the operational features and benefits of using Cassandra-based databases in modern app development.

1. Cassandra Distributions and
Variants

2. ● Apache Cassandra
● Datastax Enterprise
● Elessandra
Cassandra / Cassandra Compliant Databases on JVM

3. The Apache Cassandra database is the right
choice when you need scalability and high
availability without compromising performance.
Linear scalability and proven fault-tolerance on
commodity hardware or cloud infrastructure
make it the perfect platform for mission-critical
data. Cassandra's support for replicating across
multiple datacenters is best-in-class, providing
lower latency for your users and the peace of
mind of knowing that you can survive regional
outages.
Apache Cassandra

4. Most widely used commercial distribution
of Apache Cassandra, integrated with
Apache Spark (for SparkSQL, analytics),
Apache Solr (for secondary index), Apache
TinkerPop based Graph stored in
Cassandra, and OpsCenter.
Datastax Enterprise

5. The open source database and search
engine for multi-cloud applications.
Elassandra simplifies your data stack by
integrating Elasticsearch® into Apache
Cassandra®.
Elassandra

6. ● Scylla
● Yugabyte
Cassandra Compliant Databases on C++

7. Scylla is a drop-in Apache Cassandra alternative
big data database that powers your applications
with ultra-low latency and extremely high
throughput, while reducing TCO to a fraction of
most NoSQL databases.
Reimplemented Apache Cassandra from scratch
using C++ instead of Java to increase the raw
performance and utilization of modern
multi-core servers and, through self-tuning and
improved uptime, minimize the overhead to
DevOps. Scylla provides the NoSQL database
platform your applications require to scale out
and up linearly.
Scylla

8. YugaByteDB is a transactional,
high-performance database for
building distributed cloud services. It
supports Cassandra-compatible and
Redis-compatible APIs, with
PostgreSQL in Beta.
Yugabyte

9. ● Datastax Astra
● Instaclustr
● Aiven
Cassandra as a Service / Managed Cassandra Based on Open Source Cassandra

10. DataStax Astra simplifies cloud-native
Cassandra application development. It
reduces deployment time from weeks to
minutes, removing the biggest obstacle to
using Cassandra, which is behind many of
the most heavily used applications in the
world.
Datastax Astra

11. Instaclustr provides a fully managed and SOC 2
certified hosted & managed service for Apache
Cassandra® on AWS, Azure, GCP and IBM
Cloud.
Instaclustr

12. Aiven for Apache Cassandra is a managed and
hosted distributed NoSQL database providing
scalability, high availability, and excellent fault
tolerance. Cassandra as a Service is available on
Google Cloud Platform, Amazon Web Services,
Microsoft Azure, DigitalOcean, and UpCloud.
Aiven

13. ● Microsoft Cosmos DB
● Amazon Keyspaces
Cassandra as a Service / Managed Cassandra Based on Proprietary Technology

14. Azure Cosmos DB is a fully managed NoSQL
database service for modern app development
with guaranteed single-digit millisecond
response times and 99.999-percent availability
backed by SLAs, automatic and instant
scalability, and open source APIs for MongoDB
and Cassandra. Enjoy fast writes and reads
anywhere in the world with turnkey
multi-master global distribution.
Microsoft Cosmos DB

15. Amazon Keyspaces (for Apache Cassandra) is a scalable, highly
available, and managed Apache Cassandra–compatible database
service. With Amazon Keyspaces, you can run your Cassandra
workloads on AWS using the same Cassandra application code and
developer tools that you use today. You don’t have to provision, patch,
or manage servers, and you don’t have to install, maintain, or operate
software. Amazon Keyspaces is serverless, so you pay for only the
resources you use and the service can automatically scale tables up
and down in response to application traffic. You can build applications
that serve thousands of requests per second with virtually unlimited
throughput and storage. Data is encrypted by default and Amazon
Keyspaces enables you to back up your table data continuously using
point-in-time recovery. Amazon Keyspaces gives you the
performance, elasticity, and enterprise features you need to operate
business-critical Cassandra workloads at scale.
Amazon Keyspaces

16. Strategy: Scalable Fast Data
Architecture: Cassandra, Spark, Kafka
Engineering: Node, Python, JVM,CLR
Operations: Cloud, Container
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