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DBMS > InfluxDB vs. Oracle Berkeley DB vs. OrigoDB vs. TypeDB

System Properties Comparison InfluxDB vs. Oracle Berkeley DB vs. OrigoDB vs. TypeDB

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonOrigoDB  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsWidely used in-process key-value storeA fully ACID in-memory object graph databaseTypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.
Primary database modelTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Object oriented DBMS
Graph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score0.65
Rank#230  Overall
#20  Graph DBMS
#9  Object oriented DBMS
#107  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlorigodb.comtypedb.com
Technical documentationdocs.influxdata.com/­influxdbdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlorigodb.com/­docstypedb.com/­docs
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleRobert Friberg et alVaticle
Initial release201319942009 infounder the name LiveDB2016
Current release2.7.6, April 202418.1.40, May 20202.28.3, June 2024
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infocommercial license availableOpen SourceOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, Java, C++ (depending on the Berkeley DB edition)C#Java
Server operating systemsLinux
OS X infothrough Homebrew
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateNumeric data and StringsnoUser defined using .NET types and collectionsyes
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.noyes infoonly with the Berkeley DB XML editionno infocan be achieved using .NETno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query languageyes infoSQL interfaced based on SQLite is availablenono
APIs and other access methodsHTTP API
JSON over UDP
.NET Client API
HTTP API
LINQ
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Supported programming languages.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
.NetAll JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnonoyesno
Triggersnoyes infoonly for the SQL APIyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynonehorizontal partitioning infoclient side managed; servers are not synchronizedno
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlySource-replica replicationSource-replica replicationSynchronous replication via raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyesyesno
User concepts infoAccess controlsimple rights management via user accountsnoRole based authorizationyes infoat REST API level; other APIs in progress
More information provided by the system vendor
InfluxDBOracle Berkeley DBOrigoDBTypeDB 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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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