What is DataStax Enterprise?
Scale-out NoSQL for any workload
Built on Apache Cassandra™, DataStax Enterprise adds NoSQL workloads including search, graph, and analytics, with operational reliability hardened by the largest internet apps and the Fortune 100.
DataStax Enterprise is a tool in the Cassandra as a Service category of a tech stack.
Who uses DataStax Enterprise?
Companies
7 companies reportedly use DataStax Enterprise in their tech stacks, including Simpl, Alpha Vertex, and itembase.
Developers
40 developers on StackShare have stated that they use DataStax Enterprise.
DataStax Enterprise Integrations
Kubernetes, Kafka, Cassandra, Apache Spark, and Apache Solr are some of the popular tools that integrate with DataStax Enterprise. Here's a list of all 6 tools that integrate with DataStax Enterprise.
Decisions about DataStax Enterprise
Here are some stack decisions, common use cases and reviews by companies and developers who chose DataStax Enterprise in their tech stack.
DataStax Enterprise's Features
- Hybrid
- Lightning Fast
- Distributed
DataStax Enterprise Alternatives & Comparisons
What are some alternatives to DataStax Enterprise?
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.