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DBMS > Databricks vs. JSqlDb vs. Netezza vs. Oracle Berkeley DB vs. Rockset

System Properties Comparison Databricks vs. JSqlDb vs. Netezza vs. Oracle Berkeley DB vs. Rockset

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonJSqlDb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRockset  Xexclude from comparison
JSqlDB 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.JavaScript Query Language Database, stores JavaScript objects and primitivesData warehouse and analytics appliance part of IBM PureSystemsWidely used in-process key-value storeA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument store
Relational DBMS
Document store
Object oriented DBMS
Relational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websitewww.databricks.comjsqldb.org (offline)www.ibm.com/­products/­netezzawww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrockset.com
Technical documentationdocs.databricks.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.rockset.com
DeveloperDatabricksKonrad von BackstromIBMOracle infooriginally developed by Sleepycat, which was acquired by OracleRockset
Initial release20132018200019942019
Current release0.8, December 201818.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen SourcecommercialOpen Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemshostedLinux
macOS
Windows
Linux infoincluded in applianceAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
hosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnodynamic typing
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.yesnoyes infoonly with the Berkeley DB XML editionno infoingestion from XML files supported
Secondary indexesyesnoyesyesall fields are automatically indexed
SQL infoSupport of SQLwith Databricks SQLnoyesyes infoSQL interfaced based on SQLite is availableRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
HTTP REST
Supported programming languagesPython
R
Scala
JavaScriptC
C++
Fortran
Java
Lua
Perl
Python
R
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesfunctions in JavaScriptyesnono
Triggersnonoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing RocksDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization conceptnoAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
DatabricksJSqlDbNetezza infoAlso called PureData System for Analytics by IBMOracle Berkeley DBRockset
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksJSqlDbNetezza infoAlso called PureData System for Analytics by IBMOracle Berkeley DBRockset
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