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DBMS > Datastax Enterprise vs. EJDB vs. EventStoreDB vs. Manticore Search

System Properties Comparison Datastax Enterprise vs. EJDB vs. EventStoreDB vs. Manticore Search

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonEJDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonManticore Search  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.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Industrial-strength, open-source database solution built from the ground up for event sourcing.Multi-storage database for search, including full-text search.
Primary database modelWide column storeDocument storeEvent StoreSearch engine
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Time Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.93
Rank#56  Overall
#4  Wide column stores
Score0.31
Rank#296  Overall
#44  Document stores
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.29
Rank#302  Overall
#21  Search engines
Websitewww.datastax.com/­products/­datastax-enterprisegithub.com/­Softmotions/­ejdbwww.eventstore.commanticoresearch.com
Technical documentationdocs.datastax.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddevelopers.eventstore.commanual.manticoresearch.com
DeveloperDataStaxSoftmotionsEvent Store LimitedManticore Software
Initial release2011201220122017
Current release6.8, April 202021.2, February 20216.0, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open SourceOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++
Server operating systemsLinux
OS X
server-lessLinux
Windows
FreeBSD
Linux
macOS
Windows
Data schemeschema-freeschema-freeFixed schema
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.noCan index from XML
Secondary indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoSQL-like query language
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
in-process shared libraryBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnonouser defined functions
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnoneSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users can be defined per objectnono
More information provided by the system vendor
Datastax EnterpriseEJDBEventStoreDBManticore Search
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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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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Datastax EnterpriseEJDBEventStoreDBManticore Search
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