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DBMS > Apache Drill vs. eXtremeDB vs. Geode vs. Kingbase vs. TerarkDB

System Properties Comparison Apache Drill vs. eXtremeDB vs. Geode vs. Kingbase vs. TerarkDB

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGeode  Xexclude from comparisonKingbase  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageNatively in-memory DBMS with options for persistency, high-availability and clusteringGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument store
Relational DBMS
Relational DBMS
Time Series DBMS
Key-value storeRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitedrill.apache.orgwww.mcobject.comgeode.apache.orgwww.kingbase.com.cngithub.com/­bytedance/­terarkdb
Technical documentationdrill.apache.org/­docswww.mcobject.com/­docs/­extremedb.htmgeode.apache.org/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software FoundationMcObjectOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.BeiJing KINGBASE Information technologies inc.ByteDance, originally Terark
Initial release20122001200219992016
Current release1.20.3, January 20238.2, 20211.1, February 2017V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercial inforestricted open source version available
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 languageC and C++JavaC and JavaC++
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Windows
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nono infosupport of XML interfaces availablenoyesno
Secondary indexesnoyesnoyesno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyes infowith the option: eXtremeSQLSQL-like query language (OQL)Standard with numerous extensionsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
C++ API
Java API
Supported programming languagesC++.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C++
Java
Server-side scripts infoStored proceduresuser defined functionsyesuser defined functionsuser defined functionsno
Triggersnoyes infoby defining eventsyes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / shardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodeACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyesyes
User concepts infoAccess controlDepending on the underlying data sourceAccess rights per client and object definablefine grained access rights according to SQL-standardno
More information provided by the system vendor
Apache DrilleXtremeDBGeodeKingbaseTerarkDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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Apache DrilleXtremeDBGeodeKingbaseTerarkDB
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