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DBMS > HugeGraph vs. InfluxDB vs. Interbase vs. Oracle Berkeley DB

System Properties Comparison HugeGraph vs. InfluxDB vs. Interbase vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonInfluxDB  Xexclude from comparisonInterbase  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSDBMS for storing time series, events and metricsLight-weight proven RDBMS infooriginally from BorlandWidely used in-process key-value store
Primary database modelGraph DBMSTime Series DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.influxdata.com/­products/­influxdb-overviewwww.embarcadero.com/­products/­interbasewww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationhugegraph.apache.org/­docsdocs.influxdata.com/­influxdbdocs.embarcadero.com/­products/­interbasedocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperBaiduEmbarcaderoOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2018201319841994
Current release0.92.7.6, April 2024InterBase 2020, December 201918.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoCC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
macOS
Unix
Linux
OS X infothrough Homebrew
Android
iOS
Linux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesno
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.nonono infoexport as XML data possibleyes infoonly with the Berkeley DB XML edition
Secondary indexesyes infoalso supports composite index and range indexnoyesyes
SQL infoSupport of SQLnoSQL-like query languageyesyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
Supported programming languagesGroovy
Java
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.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
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoyes infoInterbase procedure and trigger languageno
Triggersnonoyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoin enterprise version onlynonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infoin enterprise version onlyInterbase Change ViewsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny control
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyesyes
User concepts infoAccess controlUsers, roles and permissionssimple rights management via user accountsfine grained access rights according to SQL-standardno
More information provided by the system vendor
HugeGraphInfluxDBInterbaseOracle Berkeley DB
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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