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DBMS > Dgraph vs. EsgynDB vs. HBase vs. Ignite vs. RisingWave

System Properties Comparison Dgraph vs. EsgynDB vs. HBase vs. Ignite vs. RisingWave

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonHBase  Xexclude from comparisonIgnite  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionWide-column store based on Apache Hadoop and on concepts of BigTableApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelGraph DBMSRelational DBMSWide column storeKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websitedgraph.iowww.esgyn.cnhbase.apache.orgignite.apache.orgwww.risingwave.com/­database
Technical documentationdgraph.io/­docshbase.apache.org/­book.htmlapacheignite.readme.io/­docsdocs.risingwave.com/­docs/­current/­intro
DeveloperDgraph Labs, Inc.EsgynApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software FoundationRisingWave Labs
Initial release20162015200820152022
Current release2.3.4, January 2021Apache Ignite 2.61.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaJavaC++, Java, .NetRust
Server operating systemsLinux
OS X
Windows
LinuxLinux
Unix
Windows infousing Cygwin
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeschema-freeyesschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyesStandard SQL-types and JSON
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.nononoyesno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyesnoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
PostgreSQL wire protocol
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Groovy
Java
PHP
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes infoCoprocessors in Javayes (compute grid and cache interceptors can be used instead)UDFs in Python or Java
Triggersnonoyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
yes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)ACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACSecurity Hooks for custom implementationsUsers and Roles

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More resources
DgraphEsgynDBHBaseIgniteRisingWave
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