DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > OrientDB vs. Postgres-XL vs. searchxml vs. TimescaleDB

System Properties Comparison OrientDB vs. Postgres-XL vs. searchxml vs. TimescaleDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameOrientDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonsearchxml  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionMulti-model DBMS (Document, Graph, Key/Value)Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDBMS for structured and unstructured content wrapped with an application serverA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Graph DBMS
Key-value store
Relational DBMSNative XML DBMS
Search engine
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websiteorientdb.orgwww.postgres-xl.orgwww.searchxml.net/­category/­productswww.timescale.com
Technical documentationwww.orientdb.com/­docs/­last/­index.htmlwww.postgres-xl.org/­documentationwww.searchxml.net/­support/­handoutsdocs.timescale.com
DeveloperOrientDB LTD; CallidusCloud; SAPinformationpartners gmbhTimescale
Initial release20102014 infosince 2012, originally named StormDB20152017
Current release3.2.29, March 202410 R1, October 20181.02.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoMozilla public licensecommercialOpen Source infoApache 2.0
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 languageJavaCC++C
Server operating systemsAll OS with a Java JDK (>= JDK 6)Linux
macOS
WindowsLinux
OS X
Windows
Data schemeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, 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.noyes infoXML type, but no XML query functionalityyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language, no joinsyes infodistributed, parallel query executionnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsTinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
WebDAV
XQuery
XSLT
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++ infomost other programming languages supported via APIs.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresJava, Javascriptuser defined functionsyes infoon the application serveruser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
TriggersHooksyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infosychronisation to multiple collectionsSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocould be achieved with distributed queriesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCmultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users and roles; record level security configurablefine grained access rights according to SQL-standardDomain, group and role-based access control at the document level and for application servicesfine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
OrientDBPostgres-XLsearchxmlTimescaleDB
DB-Engines blog posts

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

show all

Recent citations in the news

The 12 Best Graph Databases to Consider for 2024
22 October 2023, Solutions Review

OrientDB: A Flexible and Scalable Multi-Model NoSQL DBMS
21 January 2022, Open Source For You

Comparing Graph Databases II. Part 2: ArangoDB, OrientDB, and… | by Sam Bell
20 September 2019, Towards Data Science

HNS IoT Botnet Evolves, Goes Cross-Platform
2 December 2023, Dark Reading

ArangoDB raises $10 million for NoSQL database management
14 March 2019, VentureBeat

provided by Google News

TimescaleDB Is a Vector Database Now, Too
25 September 2023, Datanami

Timescale Acquires PopSQL to Bring a Modern, Collaborative SQL GUI to PostgreSQL Developers
4 April 2024, PR Newswire

Power IoT and time-series workloads with TimescaleDB for Azure Database for PostgreSQL
18 March 2019, Microsoft

Timescale Valuation Rockets to Over $1B with $110M Round, Marking the Explosive Rise of Time-Series Data
22 February 2022, Business Wire

TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
22 August 2019, Packt Hub

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Present your product here