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DBMS > Databricks vs. STSdb vs. TigerGraph vs. Yanza

System Properties Comparison Databricks vs. STSdb vs. TigerGraph vs. Yanza

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonSTSdb  Xexclude from comparisonTigerGraph  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeTime Series DBMS for IoT Applications
Primary database modelDocument store
Relational DBMS
Key-value storeGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitewww.databricks.comgithub.com/­STSSoft/­STSdb4www.tigergraph.comyanza.com
Technical documentationdocs.databricks.comdocs.tigergraph.com
DeveloperDatabricksSTS Soft SCYanza
Initial release2013201120172015
Current release4.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, commercial license availablecommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C++
Server operating systemshostedWindowsLinuxWindows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyes infoprimitive types and user defined types (classes)yesno
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.yesnono
Secondary indexesyesnono
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query language (GSQL)no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
HTTP API
Supported programming languagesPython
R
Scala
C#
Java
C++
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesno
Triggersnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
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.nono
User concepts infoAccess controlnoRole-based access controlno
More information provided by the system vendor
DatabricksSTSdbTigerGraphYanza
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksSTSdbTigerGraphYanza
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