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DBMS > ObjectBox vs. Sphinx vs. TimescaleDB

System Properties Comparison ObjectBox vs. Sphinx vs. TimescaleDB

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Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonSphinx  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionExtremely fast embedded database for small devices, IoT and MobileOpen source search engine for searching in data from different sources, e.g. relational databasesA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelObject oriented DBMSSearch engineTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#219  Overall
#12  Object oriented DBMS
Score7.04
Rank#49  Overall
#5  Search engines
Score1.73
Rank#122  Overall
#8  Time Series DBMS
Websiteobjectbox.iosphinxsearch.comwww.timescale.com
Technical documentationdocs.objectbox.iosphinxsearch.com/­docsdocs.timescale.com
DeveloperObjectBox LimitedSphinx Technologies Inc.Timescale
Initial release201720012017
Current release3.1.1, October 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++C
Server operating systemsAndroid
iOS
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesnonumerics, 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
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query language (SphinxQL)yes infofull PostgreSQL SQL syntax
APIs and other access methodsProprietary native APIProprietary protocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
Go
Java
JavaScript infoplanned (as of Jan 2019)
Python infoplanned (as of Jan 2019)
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMaster-slave replication with hot standby and reads on slaves info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyesnofine grained access rights according to SQL-standard
More information provided by the system vendor
ObjectBoxSphinxTimescaleDB
Specific characteristicsTimescaleDB is the first open-source time-series database that combines the reliability,...
» more
Competitive advantagesTimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosIoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» more
Key customersAltair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» more
Market metrics1 million+ downloads, 6,500+ Github stars
» more
Licensing and pricing modelsApache 2 and Timescale License (TSL); information on pricing for support and enterprise...
» more
News

ObjectBox Java 2.4
15 October 2019

The best IoT Databases for the Edge – an overview and compact guide
10 October 2019

ObjectBox Swift 1.0 Released
24 September 2019

Car Tolling – A case for Edge Computing
11 September 2019

How to benchmark database performance – and ObjectBox
27 August 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ObjectBoxSphinxTimescaleDB
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Recent citations in the news

Latest forecast on Object-Oriented Databases Software market Will Reflect Significant Growth Prospects during 2019-2026 | Google, Microsoft, Inter Systems, DBase, Cyebiz, VelocityDB
11 November 2019, Market Expert

ObjectBox has built a distributed database for the IoT
17 September 2019, Stacey on IoT

Object-Oriented Databases Software Market Analysis by Key Manufacturers, Type, Applications and Forecasts to 2019-2024
6 November 2019, Maxi Wire

Object-Oriented Databases Software Massive growth expects by Market 2019 opportunity assessments, growth factors, by major key players Google, Microsoft, InterSystems, DBase, Cyebiz, VelocityDB
31 October 2019, Market Expert

Munich-founded database startup ObjectBox raises $2 million
3 December 2018, Tech.eu

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TimescaleDB Delivers Another Option for Time-Series Analytics
17 October 2019, Datanami

Timescale announces $15M investment and new enterprise version of TimescaleDB
29 January 2019, TechCrunch

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

Why time series databases are exploding in popularity
26 June 2019, TechRepublic

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16 April 2019, PRNewswire

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