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DBMS > Databricks vs. HEAVY.AI vs. jBASE vs. LevelDB vs. Percona Server for MongoDB

System Properties Comparison Databricks vs. HEAVY.AI vs. jBASE vs. LevelDB vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonjBASE  Xexclude from comparisonLevelDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
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 high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA robust multi-value DBMS comprising development tools and middlewareEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument store
Relational DBMS
Relational DBMSMultivalue DBMSKey-value storeDocument store
Secondary database modelsSpatial 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
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.52
Rank#254  Overall
#39  Document stores
Websitewww.databricks.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasegithub.com/­google/­leveldbwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.databricks.comdocs.heavy.aidocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9github.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.percona.com/­percona-distribution-for-mongodb
DeveloperDatabricksHEAVY.AI, Inc.Rocket Software (formerly Zumasys)GooglePercona
Initial release20132016199120112015
Current release5.10, January 20225.71.23, February 20213.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoBSDOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC++C++
Server operating systemshostedLinuxAIX
Linux
Windows
Illumos
Linux
OS X
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptionalnoyes
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.yesnoyesnono
Secondary indexesyesnonoyes
SQL infoSupport of SQLwith Databricks SQLyesEmbedded SQL for jBASE in BASICnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
proprietary protocol using JSON
Supported programming languagesPython
R
Scala
All languages supporting JDBC/ODBC/Thrift
Python
.Net
Basic
Jabbascript
Java
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesnoJavaScript
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infovia In-Memory Engine
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelnoAccess rights for users and roles
More information provided by the system vendor
DatabricksHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022jBASELevelDBPercona Server for MongoDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022jBASELevelDBPercona Server for MongoDB
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