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. OpenQM vs. Oracle Berkeley DB vs. Oracle NoSQL

System Properties Comparison Datastax Enterprise vs. Elasticsearch vs. OpenQM vs. Oracle Berkeley DB vs. Oracle NoSQL

Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonElasticsearch  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonOracle NoSQL  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 metricQpenQM is a high-performance, self-tuning, multi-value DBMSWidely used in-process key-value storeA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelWide column storeSearch engineMultivalue DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Key-value store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Document store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.80
Rank#60  Overall
#4  Wide column stores
Score135.35
Rank#7  Overall
#1  Search engines
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisewww.elastic.co/­elasticsearchwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationdocs.datastax.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperDataStaxElasticRocket Software, originally Martin PhillipsOracle infooriginally developed by Sleepycat, which was acquired by OracleOracle
Initial release20112010199319942011
Current release6.8, April 20208.6, January 20233.4-1218.1.40, May 202023.3, December 2023
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicenseOpen Source infoGPLv2, extended commercial license availableOpen Source infocommercial license availableOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Cloud-based only infoOnly available as a cloud servicenonononono
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 languageJavaJavaC, Java, C++ (depending on the Berkeley DB edition)Java
Server operating systemsLinux
OS X
All OS with a Java VMAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Solaris SPARC/x86
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes infowith some exceptionsschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateyesyesnooptional
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.nonoyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLSQL-like query languagenoyes infoSQL interfaced based on SQLite is availableSQL-like DML and DDL statements
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Java API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Basic
C
Java
Objective C
PHP
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesyesnono
Triggersyesyes infoby using the 'percolation' featureyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingyesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyesyesSource-replica replicationElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesES-Hadoop Connectornonowith Hadoop integration
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 infodepending on configuration
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACIDACIDconfigurable infoACID within a storage node (=shard)
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 integrationyesyes infooff heap cache
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights can be defined down to the item levelnoAccess rights for users and roles
More information provided by the system vendor
Datastax EnterpriseElasticsearchOpenQM infoalso called QMOracle Berkeley DBOracle NoSQL
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 EnterpriseElasticsearchOpenQM infoalso called QMOracle Berkeley DBOracle NoSQL
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

Recent citations in the news

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 Rolls Out Vector Search for Astra DB to Support Gen AI
19 July 2023, EnterpriseAI

DataStax Announces Vector Search for DataStax Enterprise: Bringing the Power of Generative AI to Any Cloud, Hybrid ...
8 August 2023, Yahoo Finance Australia

DataStax announces vector search capabilities in its on-prem Apache Cassandra database
8 August 2023, SDTimes.com

provided by Google News

Elasticsearch Open Inference API Now Supports Microsoft Azure AI Studio
22 May 2024, Business Wire

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 Goes Deep on OpenTelemetry with eBPF Donation
13 March 2024, The New Stack

provided by Google News

ACM recognizes far-reaching technical achievements with special awards
26 May 2021, EurekAlert

Margo I. Seltzer | Berkman Klein Center
18 August 2020, Berkman Klein Center

Database Trends Report: SQL Beats NoSQL, MySQL Most Popular -- ADTmag
5 March 2019, ADT Magazine

How to store financial market data for backtesting
26 January 2019, Towards Data Science

The importance of bitcoin nodes and how to start one
9 May 2014, The Merkle News

provided by Google News

OpenWorld 2013: Oracle NoSQL Database On the Rise?
13 December 2023, Channel Futures

Blog Theme - Details
21 August 2023, blogs.oracle.com

Oracle Defends Relational DBs Against NoSQL Competitors
25 November 2015, eWeek

Oracle Adds New AI-Enabling Features To MySQL HeatWave
23 March 2023, Forbes

Cloud database comparison: AWS, Microsoft, Google and Oracle
23 August 2022, TechTarget

provided by Google News



Share this page

Featured Products

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Milvus logo

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

Neo4j logo

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

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB 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

Present your product here