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DBMS > Databricks vs. dBASE vs. Hypertable vs. Kinetica vs. Sequoiadb

System Properties Comparison Databricks vs. dBASE vs. Hypertable vs. Kinetica vs. Sequoiadb

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisondBASE  Xexclude from comparisonHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonSequoiadb  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.dBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.An open source BigTable implementation based on distributed file systems such as HadoopFully vectorized database across both GPUs and CPUsNewSQL database with distributed OLTP and SQL
Primary database modelDocument store
Relational DBMS
Relational DBMSWide column storeRelational DBMSDocument store
Relational 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
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitewww.databricks.comwww.dbase.comwww.kinetica.comwww.sequoiadb.com
Technical documentationdocs.databricks.comwww.dbase.com/­support/­knowledgebasedocs.kinetica.comwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperDatabricksAsthon TateHypertable Inc.KineticaSequoiadb Ltd.
Initial release20131979200920122013
Current releasedBASE 2019, 20190.9.8.11, March 20167.1, August 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoServer: AGPL; Client: Apache V2
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++C, C++C++
Server operating systemshostedDOS infodBase Classic
Windows infodBase Pro
Linux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes infooid, date, timestamp, binary, regex
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.yesnono
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLwith Databricks SQLnonoSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.C++ API
Thrift
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesPython
R
Scala
dBase proprietary IDEC++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesno infoThe IDE can access stored procedures in other database systems.nouser defined functionsJavaScript
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factor on file system levelSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnonoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users and roles on table levelsimple password-based access control
More information provided by the system vendor
DatabricksdBASEHypertableKineticaSequoiadb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksdBASEHypertableKineticaSequoiadb
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