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DBMS > Spark SQL vs. TDengine vs. TempoIQ vs. Titan

System Properties Comparison Spark SQL vs. TDengine vs. TempoIQ vs. Titan

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Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonTDengine  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonTitan  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingTime Series DBMS and big data platformScalable analytics DBMS for sensor data, provided as a service (SaaS)Titan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitespark.apache.org/­sqlgithub.com/­taosdata/­TDengine
tdengine.com
tempoiq.com (offline)github.com/­thinkaurelius/­titan
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tdengine.comgithub.com/­thinkaurelius/­titan/­wiki
DeveloperApache Software FoundationTDEngine, previously Taos DataTempoIQAurelius, owned by DataStax
Initial release2014201920122012
Current release3.5.0 ( 2.13), September 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL V3, also commercial editions availablecommercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaCJava
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesnonoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsStandard SQL with extensions for time-series applicationsnono
APIs and other access methodsJDBC
ODBC
JDBC
RESTful HTTP API
HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesJava
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C#
Java
JavaScript infoNode.js
Python
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresnononoyes
Triggersnoyes, via alarm monitoringyes infoRealtime Alertsyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoyessimple authentication-based access controlUser authentification and security via Rexster Graph Server
More information provided by the system vendor
Spark SQLTDengineTempoIQ infoformerly TempoDBTitan
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Spark SQLTDengineTempoIQ infoformerly TempoDBTitan
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