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DBMS > HugeGraph vs. IBM Db2 Event Store vs. InfluxDB vs. LMDB

System Properties Comparison HugeGraph vs. IBM Db2 Event Store vs. InfluxDB vs. LMDB

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonInfluxDB  Xexclude from comparisonLMDB  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSDistributed Event Store optimized for Internet of Things use casesDBMS for storing time series, events and metricsA high performant, light-weight, embedded key-value database library
Primary database modelGraph DBMSEvent Store
Time Series DBMS
Time Series DBMSKey-value store
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­db2-event-storewww.influxdata.com/­products/­influxdb-overviewwww.symas.com/­symas-embedded-database-lmdb
Technical documentationhugegraph.apache.org/­docswww.ibm.com/­docs/­en/­db2-event-storedocs.influxdata.com/­influxdbwww.lmdb.tech/­doc
DeveloperBaiduIBMSymas
Initial release2018201720132011
Current release0.92.02.7.6, April 20240.9.32, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree developer edition availableOpen Source infoMIT-License; commercial enterprise version availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++GoC
Server operating systemsLinux
macOS
Unix
Linux infoLinux, macOS, Windows for the developer additionLinux
OS X infothrough Homebrew
Linux
Unix
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data and Strings
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.nononono
Secondary indexesyes infoalso supports composite index and range indexnonono
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeSQL-like query languageno
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
JSON over UDP
Supported programming languagesGroovy
Java
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseActive-active shard replicationselectable replication factor infoin enterprise version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoDepending on used storage engineyes
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardsimple rights management via user accountsno
More information provided by the system vendor
HugeGraphIBM Db2 Event StoreInfluxDBLMDB
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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