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

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

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Editorial information provided by DB-Engines
NameNSDb  Xexclude from comparisonOpenTSDB  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTigerGraph  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesScalable 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 modelTime Series DBMSTime Series DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitensdb.ioopentsdb.netwww.tigergraph.com
Technical documentationnsdb.io/­Architectureopentsdb.net/­docs/­build/­html/­index.htmldocs.tigergraph.com
Developercurrently maintained by Yahoo and other contributorsTeradata
Initial release2017201120052017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoLGPLcommercialcommercial
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 languageJava, ScalaJavaC++
Server operating systemsLinux
macOS
Linux
Windows
LinuxLinux
Data schemeschema-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 dateyes: int, bigint, decimal, stringnumeric 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 indexesall fields are automatically indexednoyes
SQL infoSupport of SQLSQL-like query languagenoyesSQL-like query language (GSQL)
APIs and other access methodsgRPC
HTTP REST
WebSocket
HTTP API
Telnet API
ADO.NET
JDBC
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesJava
Scala
Erlang
Go
Java
Python
R
Ruby
C
C#
C++
Java
Python
R
C++
Java
Server-side scripts infoStored proceduresnonoR packagesyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding 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 systemEventual 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 persistentUsing Apache Luceneyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnofine grained access rights according to SQL-standardRole-based access control

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More resources
NSDbOpenTSDBTeradata AsterTigerGraph
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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