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DBMS > Databricks vs. Drizzle vs. Hypertable vs. JSqlDb

System Properties Comparison Databricks vs. Drizzle vs. Hypertable vs. JSqlDb

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDrizzle  Xexclude from comparisonHypertable  Xexclude from comparisonJSqlDb  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.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.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An open source BigTable implementation based on distributed file systems such as HadoopJavaScript Query Language Database, stores JavaScript objects and primitives
Primary database modelDocument store
Relational DBMS
Relational DBMSWide column storeDocument store
Object oriented 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
Websitewww.databricks.comjsqldb.org (offline)
Technical documentationdocs.databricks.com
DeveloperDatabricksDrizzle project, originally started by Brian AkerHypertable Inc.Konrad von Backstrom
Initial release2013200820092018
Current release7.2.4, September 20120.9.8.11, March 20160.8, December 2018
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoGNU version 3. Commercial license availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemshostedFreeBSD
Linux
OS X
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnono
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 indexesyesyesrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLwith Databricks SQLyes infowith proprietary extensionsnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCC++ API
Thrift
Supported programming languagesPython
R
Scala
C
C++
Java
PHP
C++
Java
Perl
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonofunctions in JavaScript
Triggersno infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
selectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPno
More information provided by the system vendor
DatabricksDrizzleHypertableJSqlDb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDrizzleHypertableJSqlDb
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