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DBMS > HugeGraph vs. IBM Cloudant vs. IBM Db2 Event Store vs. Immudb vs. Kinetica

System Properties Comparison HugeGraph vs. IBM Cloudant vs. IBM Db2 Event Store vs. Immudb vs. Kinetica

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonImmudb  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSDatabase as a Service offering based on Apache CouchDBDistributed Event Store optimized for Internet of Things use casesAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Fully vectorized database across both GPUs and CPUs
Primary database modelGraph DBMSDocument storeEvent Store
Time Series DBMS
Key-value storeRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­cloudantwww.ibm.com/­products/­db2-event-storegithub.com/­codenotary/­immudb
immudb.io
www.kinetica.com
Technical documentationhugegraph.apache.org/­docscloud.ibm.com/­docs/­Cloudantwww.ibm.com/­docs/­en/­db2-event-storedocs.immudb.iodocs.kinetica.com
DeveloperBaiduIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014IBMCodenotaryKinetica
Initial release20182010201720202012
Current release0.92.01.2.3, April 20227.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree developer edition availableOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangC and C++GoC, C++
Server operating systemsLinux
macOS
Unix
hostedLinux infoLinux, macOS, Windows for the developer additionBSD
Linux
macOS
Solaris
Windows
z/OS
Linux
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonononono
Secondary indexesyes infoalso supports composite index and range indexyesnoyesyes
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimeSQL-like syntaxSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP/JSON APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
gRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGroovy
Java
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsView functions (Map-Reduce) in JavaScriptyesnouser defined functions
Triggersnoyesnonoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
Active-active shard replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoedges in graphnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possiblenoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - 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.yesnoyesnoyes infoGPU vRAM or System RAM
User concepts infoAccess controlUsers, roles and permissionsAccess rights for users can be defined per databasefine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
HugeGraphIBM CloudantIBM Db2 Event StoreImmudbKinetica
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