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DBMS > Databricks vs. Hypertable vs. Kinetica vs. TimesTen vs. Transbase

System Properties Comparison Databricks vs. Hypertable vs. Kinetica vs. TimesTen vs. Transbase

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonTimesTen  Xexclude from comparisonTransbase  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed 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.An open source BigTable implementation based on distributed file systems such as HadoopFully vectorized database across both GPUs and CPUsIn-Memory RDBMS compatible to OracleA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument store
Relational DBMS
Wide column storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitewww.databricks.comwww.kinetica.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.databricks.comdocs.kinetica.comdocs.oracle.com/­database/­timesten-18.1www.transaction.de/­en/­products/­transbase/­features.html
DeveloperDatabricksHypertable Inc.KineticaOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Transaction Software GmbH
Initial release20132009201219981987
Current release0.9.8.11, March 20167.1, August 202111 Release 2 (11.2.2.8.0)Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercialcommercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++C and C++
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.yesnonono
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
C++ API
Thrift
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesPython
R
Scala
C++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
C
C++
Java
PL/SQL
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnouser defined functionsPL/SQLyes
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelSource-replica replicationMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlnoAccess rights for users and roles on table levelfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksHypertableKineticaTimesTenTransbase
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksHypertableKineticaTimesTenTransbase
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