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DBMS > Databricks vs. EJDB vs. HyperSQL vs. InfluxDB vs. Netezza

System Properties Comparison Databricks vs. EJDB vs. HyperSQL vs. InfluxDB vs. Netezza

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEJDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBDBMS for storing time series, events and metricsData warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score0.13
Rank#331  Overall
#46  Document stores
Score3.14
Rank#85  Overall
#46  Relational DBMS
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Websitewww.databricks.comgithub.com/­Softmotions/­ejdbhsqldb.orgwww.influxdata.com/­products/­influxdb-overviewwww.ibm.com/­products/­netezza
Technical documentationdocs.databricks.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdhsqldb.org/­web/­hsqlDocsFrame.htmldocs.influxdata.com/­influxdb
DeveloperDatabricksSoftmotionsIBM
Initial release20132012200120132000
Current release2.7.2, June 20232.7.6, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infobased on BSD licenseOpen Source infoMIT-License; commercial enterprise version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaGo
Server operating systemshostedserver-lessAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X infothrough Homebrew
Linux infoincluded in appliance
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesNumeric data and Stringsyes
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 indexesyesnoyesnoyes
SQL infoSupport of SQLwith Databricks SQLnoyesSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
in-process shared libraryHTTP API infoJDBC via HTTP
JDBC
ODBC
HTTP API
JSON over UDP
JDBC
ODBC
OLE DB
Supported programming languagesPython
R
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
All languages supporting JDBC/ODBC
Java
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoJava, SQLnoyes
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenoneselectable replication factor infoin enterprise version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
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.noyesyes infoDepending on used storage engine
User concepts infoAccess controlnofine grained access rights according to SQL-standardsimple rights management via user accountsUsers with fine-grained authorization concept
More information provided by the system vendor
DatabricksEJDBHyperSQL infoalso known as HSQLDBInfluxDBNetezza infoAlso called PureData System for Analytics by IBM
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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