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DBMS > GeoSpock vs. OpenTSDB vs. Teradata Aster vs. TigerGraph

System Properties Comparison GeoSpock vs. OpenTSDB vs. Teradata Aster vs. TigerGraph

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonOpenTSDB  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTigerGraph  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleScalable Time Series DBMS based on HBasePlatform for big data analytics on multistructured data sources and typesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSTime Series DBMSRelational DBMSGraph DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitegeospock.comopentsdb.netwww.tigergraph.com
Technical documentationopentsdb.net/­docs/­build/­html/­index.htmldocs.tigergraph.com
DeveloperGeoSpockcurrently maintained by Yahoo and other contributorsTeradata
Initial release201120052017
Current release2.0, September 2019
License infoCommercial or Open SourcecommercialOpen Source infoLGPLcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJavaC++
Server operating systemshostedLinux
Windows
LinuxLinux
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or dateyesnumeric data for metrics, strings for tagsyesyes
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.nonoyes infoin Aster File Storeno
Secondary indexestemporal, categoricalnoyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)noyesSQL-like query language (GSQL)
APIs and other access methodsJDBCHTTP API
Telnet API
ADO.NET
JDBC
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesErlang
Go
Java
Python
R
Ruby
C
C#
C++
Java
Python
R
C++
Java
Server-side scripts infoStored proceduresnonoR packagesyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBaseyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoSQL Map-Reduce Frameworkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
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.nononono
User concepts infoAccess controlAccess rights for users can be defined per tablenofine grained access rights according to SQL-standardRole-based access control

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More resources
GeoSpockOpenTSDBTeradata AsterTigerGraph
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
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