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DBMS > Datastax Enterprise vs. Elasticsearch vs. LeanXcale vs. Percona Server for MongoDB vs. SingleStore

System Properties Comparison Datastax Enterprise vs. Elasticsearch vs. LeanXcale vs. Percona Server for MongoDB vs. SingleStore

Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonElasticsearch  Xexclude from comparisonLeanXcale  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  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 metricA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA drop-in replacement for MongoDB Community Edition with enterprise-grade features.MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelWide column storeSearch engineKey-value store
Relational DBMS
Document storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Document store
Spatial DBMS
Vector DBMS
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.82
Rank#65  Overall
#4  Wide column stores
Score128.79
Rank#8  Overall
#1  Search engines
Score0.28
Rank#286  Overall
#41  Key-value stores
#130  Relational DBMS
Score0.50
Rank#250  Overall
#39  Document stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisewww.elastic.co/­elasticsearchwww.leanxcale.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.singlestore.com
Technical documentationdocs.datastax.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.percona.com/­percona-distribution-for-mongodbdocs.singlestore.com
DeveloperDataStaxElasticLeanXcalePerconaSingleStore Inc.
Initial release20112010201520152013
Current release6.8, April 20208.6, January 20233.4.10-2.10, November 20178.5, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicensecommercialOpen Source infoGPL Version 2commercial infofree developer edition available
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++C++, Go
Server operating systemsLinux
OS X
All OS with a Java VMLinuxLinux info64 bit version required
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLSQL-like query languageyes infothrough Apache Derbynoyes infobut no triggers and foreign keys
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Java API
RESTful HTTP/JSON API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
proprietary protocol using JSONCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
Java
Scala
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesJavaScriptyes
Triggersyesyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyesSource-replica replicationSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesES-Hadoop Connectornoyesno infocan define user-defined aggregate functions for map-reduce-style calculations
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 integritynonoyesnono
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 datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationyesyes infovia In-Memory Engineyes
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users and rolesFine grained access control via users, groups and roles
More information provided by the system vendor
Datastax EnterpriseElasticsearchLeanXcalePercona Server for MongoDBSingleStore infoformer name was MemSQL
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...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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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

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More resources
Datastax EnterpriseElasticsearchLeanXcalePercona Server for MongoDBSingleStore infoformer name was MemSQL
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