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DBMS > EJDB vs. etcd vs. eXtremeDB vs. OrigoDB vs. TimescaleDB

System Properties Comparison EJDB vs. etcd vs. eXtremeDB vs. OrigoDB vs. TimescaleDB

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonetcd  Xexclude from comparisoneXtremeDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A distributed reliable key-value storeNatively in-memory DBMS with options for persistency, high-availability and clusteringA fully ACID in-memory object graph databaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument storeKey-value storeRelational DBMS
Time Series DBMS
Document store
Object oriented DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#331  Overall
#46  Document stores
Score7.05
Rank#53  Overall
#5  Key-value stores
Score0.79
Rank#212  Overall
#100  Relational DBMS
#18  Time Series DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Websitegithub.com/­Softmotions/­ejdbetcd.io
github.com/­etcd-io/­etcd
www.mcobject.comorigodb.comwww.timescale.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.mcobject.com/­docs/­extremedb.htmorigodb.com/­docsdocs.timescale.com
DeveloperSoftmotionsMcObjectRobert Friberg et alTimescale
Initial release201220012009 infounder the name LiveDB2017
Current release3.4, August 20198.2, 20212.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache Version 2.0commercialOpen SourceOpen Source infoApache 2.0
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.
Implementation languageCGoC and C++C#C
Server operating systemsserver-lessFreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idnoyesUser defined using .NET types and collectionsnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nono infosupport of XML interfaces availableno infocan be achieved using .NETyes
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoyes infowith the option: eXtremeSQLnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsin-process shared librarygRPC
JSON over HTTP
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyesyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes, watching key changesyes infoby defining eventsyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning / shardinghorizontal partitioning infoclient side managed; servers are not synchronizedyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replicationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenoyesdepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnonoRole based authorizationfine grained access rights according to SQL-standard

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More resources
EJDBetcdeXtremeDBOrigoDBTimescaleDB
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