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DBMS > EJDB vs. TimescaleDB vs. Titan vs. Vitess

System Properties Comparison EJDB vs. TimescaleDB vs. Titan vs. Vitess

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTitan  Xexclude from comparisonVitess  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLTitan is a Graph DBMS optimized for distributed clusters.Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument storeTime Series DBMSGraph DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbwww.timescale.comgithub.com/­thinkaurelius/­titanvitess.io
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.timescale.comgithub.com/­thinkaurelius/­titan/­wikivitess.io/­docs
DeveloperSoftmotionsTimescaleAurelius, owned by DataStaxThe Linux Foundation, PlanetScale
Initial release2012201720122013
Current release2.15.0, May 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache 2.0Open Source infoApache license, version 2.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCJavaGo
Server operating systemsserver-lessLinux
OS X
Windows
Linux
OS X
Unix
Windows
Docker
Linux
macOS
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyesyes
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.yes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infofull PostgreSQL SQL syntaxnoyes infowith proprietary extensions
APIs and other access methodsin-process shared libraryADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Clojure
Java
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyesyes infoproprietary syntax
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes, across time and space (hash partitioning) attributesyes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with hot standby and reads on replicas infoyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesyes infoRelationships in graphyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardUser authentification and security via Rexster Graph ServerUsers with fine-grained authorization concept infono user groups or roles

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More resources
EJDBTimescaleDBTitanVitess
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