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DBMS > EventStoreDB vs. HugeGraph vs. Hypertable vs. Ignite vs. PouchDB

System Properties Comparison EventStoreDB vs. HugeGraph vs. Hypertable vs. Ignite vs. PouchDB

Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonHypertable  Xexclude from comparisonIgnite  Xexclude from comparisonPouchDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.A fast-speed and highly-scalable Graph DBMSAn open source BigTable implementation based on distributed file systems such as HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.JavaScript DBMS with an API inspired by CouchDB
Primary database modelEvent StoreGraph DBMSWide column storeKey-value store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitewww.eventstore.comgithub.com/­hugegraph
hugegraph.apache.org
ignite.apache.orgpouchdb.com
Technical documentationdevelopers.eventstore.comhugegraph.apache.org/­docsapacheignite.readme.io/­docspouchdb.com/­guides
DeveloperEvent Store LimitedBaiduHypertable Inc.Apache Software FoundationApache Software Foundation
Initial release20122018200920152012
Current release21.2, February 20210.90.9.8.11, March 2016Apache Ignite 2.67.1.1, June 2019
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, Java, .NetJavaScript
Server operating systemsLinux
Windows
Linux
macOS
Unix
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.noyesno
Secondary indexesyes infoalso supports composite index and range indexrestricted infoonly exact value or prefix value scansyesyes infovia views
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
C++ API
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGroovy
Java
Python
C++
Java
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScript
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoyes (compute grid and cache interceptors can be used instead)View functions in JavaScript
Triggersnonoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor on file system levelyes (replicated cache)Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyesyes (compute grid and hadoop accelerator)yes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoedges in graphnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlUsers, roles and permissionsnoSecurity Hooks for custom implementationsno

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More resources
EventStoreDBHugeGraphHypertableIgnitePouchDB
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