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DBMS > Apache Doris vs. Drizzle vs. EsgynDB vs. FeatureBase vs. GridGain

System Properties Comparison Apache Doris vs. Drizzle vs. EsgynDB vs. FeatureBase vs. GridGain

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonGridGain  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.GridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.esgyn.cnwww.featurebase.comwww.gridgain.com
Technical documentationgithub.com/­apache/­doris/­wikidocs.featurebase.comwww.gridgain.com/­docs/­index.html
DeveloperApache Software Foundation, originally contributed from BaiduDrizzle project, originally started by Brian AkerEsgynMolecula and Pilosa Open Source ContributorsGridGain Systems, Inc.
Initial release20172008201520172007
Current release1.2.2, February 20237.2.4, September 20122022, May 2022GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, JavaGoJava, C++, .Net
Server operating systemsLinuxFreeBSD
Linux
OS X
LinuxLinux
macOS
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsyesSQL queriesANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJDBC
MySQL client
JDBCADO.NET
JDBC
ODBC
gRPC
JDBC
Kafka Connector
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesJavaC
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.NetJava
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsnoJava Stored Proceduresyes (compute grid and cache interceptors can be used instead)
Triggersnono infohooks for callbacks inside the server can be used.nonoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersyesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardSecurity Hooks for custom implementations

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More resources
Apache DorisDrizzleEsgynDBFeatureBaseGridGain
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