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DBMS > OpenTSDB vs. RocksDB vs. SingleStore vs. TempoIQ

System Properties Comparison OpenTSDB vs. RocksDB vs. SingleStore vs. TempoIQ

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Editorial information provided by DB-Engines
NameOpenTSDB  Xexclude from comparisonRocksDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionScalable Time Series DBMS based on HBaseEmbeddable persistent key-value store optimized for fast storage (flash and RAM)MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelTime Series DBMSKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#130  Overall
#8  Time Series DBMS
Score3.91
Rank#89  Overall
#15  Key-value stores
Score7.04
Rank#61  Overall
#36  Relational DBMS
Websiteopentsdb.netrocksdb.orgwww.singlestore.comtempoiq.com (offline)
Technical documentationopentsdb.net/­docs/­build/­html/­index.htmlgithub.com/­facebook/­rocksdb/­wikidocs.singlestore.com
Developercurrently maintained by Yahoo and other contributorsFacebook, Inc.SingleStore Inc.TempoIQ
Initial release2011201320132012
Current release7.1.1, April 20227.6, November 2021
License infoCommercial or Open SourceOpen Source infoLGPLOpen Source infoBSDcommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStore Managed Service: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaC++C++, Go
Server operating systemsLinux
Windows
Linux info64 bit version required
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenumeric data for metrics, strings for tagsnoyesyes
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.nononono
Secondary indexesnonoyes
SQL infoSupport of SQLnonoyes infobut no triggers and foreign keysno
APIs and other access methodsHTTP API
Telnet API
C++ API
Java API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
ODBC
HTTP API
Supported programming languagesErlang
Go
Java
Python
R
Ruby
C++
Java
Bash
C
C#
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnonoyesno
Triggersnononoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBasenoneSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBasenoneSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnonoFine grained access control via users, groups and rolessimple authentication-based access control
More information provided by the system vendor
OpenTSDBRocksDBSingleStore infoformer name was MemSQLTempoIQ infoformerly TempoDB
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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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
OpenTSDBRocksDBSingleStore infoformer name was MemSQLTempoIQ infoformerly TempoDB
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

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SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

show all

Conferences and events

The Future of Data Management
Webinar, 09:30AM PDT, 17 May 2022 (finished)

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4 April 2022, Blocks and Files

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