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DBMS > EXASOL vs. InfluxDB vs. Oracle Berkeley DB vs. SiriDB vs. TypeDB

System Properties Comparison EXASOL vs. InfluxDB vs. Oracle Berkeley DB vs. SiriDB vs. TypeDB

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonInfluxDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSiriDB  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.DBMS for storing time series, events and metricsWidely used in-process key-value storeOpen Source Time Series DBMSTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelRelational DBMSTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitewww.exasol.comwww.influxdata.com/­products/­influxdb-overviewwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlsiridb.comtypedb.com
Technical documentationwww.exasol.com/­resourcesdocs.influxdata.com/­influxdbdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.siridb.comtypedb.com/­docs
DeveloperExasolOracle infooriginally developed by Sleepycat, which was acquired by OracleCesbitVaticle
Initial release20002013199420172016
Current release2.7.6, April 202418.1.40, May 20202.26.3, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infocommercial license availableOpen Source infoMIT LicenseOpen Source infoGPL Version 3, commercial licenses available
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 languageGoC, Java, C++ (depending on the Berkeley DB edition)CJava
Server operating systemsLinux
OS X infothrough Homebrew
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
LinuxLinux
OS X
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsnoyes infoNumeric datayes
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.nonoyes infoonly with the Berkeley DB XML editionnono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesSQL-like query languageyes infoSQL interfaced based on SQLite is availablenono
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HTTP API
JSON over UDP
HTTP APIgRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesJava
Lua
Python
R
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresuser defined functionsnononono
Triggersyesnoyes infoonly for the SQL APInono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlynoneShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlySource-replica replicationyesMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyes infoDepending on used storage engineyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accountsnosimple rights management via user accountsyes infoat REST API level; other APIs in progress
More information provided by the system vendor
EXASOLInfluxDBOracle Berkeley DBSiriDBTypeDB infoformerly named Grakn
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» 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
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more
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