DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Datastax Enterprise vs. Elasticsearch vs. H2 vs. Heroic vs. Microsoft Azure SQL Database

System Properties Comparison Datastax Enterprise vs. Elasticsearch vs. H2 vs. Heroic vs. Microsoft Azure SQL Database

Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonElasticsearch  Xexclude from comparisonH2  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelWide column storeSearch engineRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Document store
Spatial DBMS
Vector DBMS
Spatial DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.93
Rank#56  Overall
#4  Wide column stores
Score132.83
Rank#7  Overall
#1  Search engines
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisewww.elastic.co/­elasticsearchwww.h2database.comgithub.com/­spotify/­heroicazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdocs.datastax.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.h2database.com/­html/­main.htmlspotify.github.io/­heroicdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperDataStaxElasticThomas MuellerSpotifyMicrosoft
Initial release20112010200520142010
Current release6.8, April 20208.6, January 20232.2.220, July 2023V12
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicenseOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaJavaJavaJavaC++
Server operating systemsLinux
OS X
All OS with a Java VMAll OS with a Java VMhosted
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonononoyes
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes infovia Elasticsearchyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLSQL-like query languageyesnoyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Java API
RESTful HTTP/JSON API
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesJava Stored Procedures and User-Defined FunctionsnoTransact SQL
Triggersyesyes infoby using the 'percolation' featureyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyesyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesES-Hadoop Connectornonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationyesno
User concepts infoAccess controlAccess rights for users can be defined per objectfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Datastax EnterpriseElasticsearchH2HeroicMicrosoft Azure SQL Database infoformerly SQL Azure
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Datastax EnterpriseElasticsearchH2HeroicMicrosoft Azure SQL Database infoformerly SQL Azure
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

show all

Recent citations in the news

DataStax Enterprise 4.0 Gives in-Memory Option to Cassandra
31 May 2024, Data Center Knowledge

DataStax previews new Hyper Converged Data Platform for enterprise AI
15 May 2024, VentureBeat

DataStax Launches New Hyper-Converged Data Platform Giving Enterprises the Complete Modern Data Center Suite ...
15 May 2024, Business Wire

DataStax and LlamaIndex Partner to Make Building RAG Applications Easier than Ever for GenAI Developers
20 February 2024, insideBIGDATA

DataStax Introduces Enhanced RAG Capabilities Through Astra DB and NVIDIA Tech
19 March 2024, Datanami

provided by Google News

8 Powerful Alternatives to Elasticsearch
25 April 2024, Yahoo Finance

Splunk vs Elasticsearch | A Comparison and How to Choose
12 January 2024, SentinelOne

Introducing Elasticsearch Vector Database to Azure OpenAI Service On Your Data (Preview)
26 March 2024, insider.govtech.com

Netflix Uses Elasticsearch Percolate Queries to Implement Reverse Searches Efficiently
29 April 2024, InfoQ.com

Elasticsearch Open Inference API Supports Cohere Rerank 3
11 April 2024, Business Wire

provided by Google News

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

provided by Google News

Copilot in Azure SQL Database in Private Preview
27 March 2024, InfoQ.com

Microsoft unveils Copilot for Azure SQL Database
27 March 2024, InfoWorld

Azure SQL Database migration to OCI - resources estimation and migration approach
11 January 2024, blogs.oracle.com

Expand the limits of innovation with Azure data
21 March 2024, microsoft.com

Why migrate Windows Server and SQL Server to Azure: ROI, innovation, and free offers
25 April 2024, microsoft.com

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here