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DBMS > EJDB vs. Prometheus vs. Sequoiadb vs. TimescaleDB vs. Vitess

System Properties Comparison EJDB vs. Prometheus vs. Sequoiadb vs. TimescaleDB vs. Vitess

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSequoiadb  Xexclude from comparisonTimescaleDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Open-source Time Series DBMS and monitoring systemNewSQL database with distributed OLTP and SQLA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument storeTime Series DBMSDocument store
Relational DBMS
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbprometheus.iowww.sequoiadb.comwww.timescale.comvitess.io
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdprometheus.io/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.timescale.comvitess.io/­docs
DeveloperSoftmotionsSequoiadb Ltd.TimescaleThe Linux Foundation, PlanetScale
Initial release20122015201320172013
Current release2.13.0, November 202315.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache 2.0Open Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCGoC++CGo
Server operating systemsserver-lessLinux
Windows
LinuxLinux
OS X
Windows
Docker
Linux
macOS
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idNumeric data onlyyes infooid, date, timestamp, binary, regexnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.no infoImport of XML data possiblenoyes
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoSQL-like query languageyes infofull PostgreSQL SQL syntaxyes infowith proprietary extensions
APIs and other access methodsin-process shared libraryRESTful HTTP/JSON APIproprietary protocol using JSONADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C++
Java
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
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 proceduresnonoJavaScriptuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyes infoproprietary syntax
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby FederationSource-replica replicationSource-replica replication with hot standby and reads on replicas infoMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenonoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoDocument is locked during a transactionACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes infotable locks or row locks depending on storage engine
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.nononoyes
User concepts infoAccess controlnonosimple password-based access controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
EJDBPrometheusSequoiadbTimescaleDBVitess
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