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DBMS > Databricks vs. EJDB vs. Hypertable vs. Kinetica

System Properties Comparison Databricks vs. EJDB vs. Hypertable vs. Kinetica

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEJDB  Xexclude from comparisonHypertable  Xexclude from comparisonKinetica  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.Embeddable document-store database library with JSON representation of queries (in MongoDB style)An open source BigTable implementation based on distributed file systems such as HadoopFully vectorized database across both GPUs and CPUs
Primary database modelDocument store
Relational DBMS
Document storeWide column storeRelational 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
Score0.27
Rank#297  Overall
#44  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitewww.databricks.comgithub.com/­Softmotions/­ejdbwww.kinetica.com
Technical documentationdocs.databricks.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.kinetica.com
DeveloperDatabricksSoftmotionsHypertable Inc.Kinetica
Initial release2013201220092012
Current release0.9.8.11, March 20167.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C, C++
Server operating systemshostedserver-lessLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idnoyes
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 indexesyesnorestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLwith Databricks SQLnonoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
in-process shared libraryC++ API
Thrift
JDBC
ODBC
RESTful HTTP API
Supported programming languagesPython
R
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonouser defined functions
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes
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.noyes infoGPU vRAM or System RAM
User concepts infoAccess controlnonoAccess rights for users and roles on table level
More information provided by the system vendor
DatabricksEJDBHypertableKinetica
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksEJDBHypertableKinetica
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