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DBMS > Databricks vs. Hypertable vs. InterSystems IRIS vs. SWC-DB vs. WakandaDB

System Properties Comparison Databricks vs. Hypertable vs. InterSystems IRIS vs. SWC-DB vs. WakandaDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHypertable  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonWakandaDB  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.An open source BigTable implementation based on distributed file systems such as HadoopA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA high performance, scalable Wide Column DBMSWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Relational DBMS
Wide column storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Wide column storeObject oriented DBMS
Secondary database modelsTime 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
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.databricks.comwww.intersystems.com/­products/­intersystems-irisgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
wakanda.github.io
Technical documentationdocs.databricks.comdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswakanda.github.io/­doc
DeveloperDatabricksHypertable Inc.InterSystemsAlex KashirinWakanda SAS
Initial release20132009201820202012
Current release0.9.8.11, March 20162023.3, June 20230.5, April 20212.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoGPL V3Open Source infoAGPLv3, extended commercial license available
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++, JavaScript
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
AIX
Linux
macOS
Ubuntu
Windows
LinuxLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freedepending on used data modelschema-freeyes
Typing infopredefined data types such as float or datenoyesyes
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.yesyesnono
Secondary indexesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLwith Databricks SQLnoyesSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
C++ API
Thrift
JDBC
ODBC
RESTful HTTP API
Proprietary protocol
Thrift
RESTful HTTP API
Supported programming languagesPython
R
Scala
C++
Java
Perl
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
C++JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesnoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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.noyesnono
User concepts infoAccess controlnoyesyes
More information provided by the system vendor
DatabricksHypertableInterSystems IRISSWC-DB infoSuper Wide Column DatabaseWakandaDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
InterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more

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DatabricksHypertableInterSystems IRISSWC-DB infoSuper Wide Column DatabaseWakandaDB
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