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DBMS > EJDB vs. Hypertable vs. InfluxDB vs. Oracle vs. Spark SQL

System Properties Comparison EJDB vs. Hypertable vs. InfluxDB vs. Oracle vs. Spark SQL

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonHypertable  Xexclude from comparisonInfluxDB  Xexclude from comparisonOracle  Xexclude from comparisonSpark SQL  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)An open source BigTable implementation based on distributed file systems such as HadoopDBMS for storing time series, events and metricsWidely used RDBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument storeWide column storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#302  Overall
#44  Document stores
Score26.89
Rank#28  Overall
#1  Time Series DBMS
Score1221.06
Rank#1  Overall
#1  Relational DBMS
Score19.56
Rank#34  Overall
#21  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbwww.influxdata.com/­products/­influxdb-overviewwww.oracle.com/­databasespark.apache.org/­sql
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.influxdata.com/­influxdbdocs.oracle.com/­en/­databasespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSoftmotionsHypertable Inc.OracleApache Software Foundation
Initial release20122009201319802014
Current release0.9.8.11, March 20162.7.5, January 202423c, September 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoGNU version 3. Commercial license availableOpen Source infoMIT-License; commercial enterprise version availablecommercial inforestricted free version is availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++GoC and C++Scala
Server operating systemsserver-lessLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X infothrough Homebrew
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyes infoSchemaless in JSON and XML columnsyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idnoNumeric data and Stringsyesyes
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.noyesno
Secondary indexesnorestricted infoonly exact value or prefix value scansnoyesno
SQL infoSupport of SQLnonoSQL-like query languageyes infowith proprietary extensionsSQL-like DML and DDL statements
APIs and other access methodsin-process shared libraryC++ API
Thrift
HTTP API
JSON over UDP
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JDBC
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Java
Python
R
Scala
Server-side scripts infoStored proceduresnononoPL/SQL infoalso stored procedures in Java possibleno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoin enterprise version onlySharding, horizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor on file system levelselectable replication factor infoin enterprise version onlyMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono infocan be realized in PL/SQL
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 possiblenonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID infoisolation level can be parameterizedno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
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.yes infoDepending on used storage engineyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'no
User concepts infoAccess controlnonosimple rights management via user accountsfine grained access rights according to SQL-standardno
More information provided by the system vendor
EJDBHypertableInfluxDBOracleSpark SQL
Specific characteristicsInfluxData 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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