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DBMS > Databricks vs. FatDB vs. OpenTSDB vs. Ultipa

System Properties Comparison Databricks vs. FatDB vs. OpenTSDB vs. Ultipa

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFatDB  Xexclude from comparisonOpenTSDB  Xexclude from comparisonUltipa  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the 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.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Scalable Time Series DBMS based on HBaseHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelDocument store
Relational DBMS
Document store
Key-value store
Time Series DBMSGraph 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
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websitewww.databricks.comopentsdb.netwww.ultipa.com
Technical documentationdocs.databricks.comopentsdb.net/­docs/­build/­html/­index.htmlwww.ultipa.com/­document
DeveloperDatabricksFatCloudcurrently maintained by Yahoo and other contributorsUltipa
Initial release2013201220112019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoLGPLcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#Java
Server operating systemshostedWindowsLinux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateyesnumeric data for metrics, strings for tags
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.yesno
Secondary indexesyesyesno
SQL infoSupport of SQLwith Databricks SQLno infoVia inetgration in SQL Serverno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP API
Telnet API
RESTful HTTP API
Supported programming languagesPython
R
Scala
C#Erlang
Go
Java
Python
R
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infovia applicationsno
Triggersyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlno infoCan implement custom security layer via applicationsno
More information provided by the system vendor
DatabricksFatDBOpenTSDBUltipa
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksFatDBOpenTSDBUltipa
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