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DBMS > Axibase vs. Drizzle vs. EsgynDB vs. GeoSpock vs. Hazelcast

System Properties Comparison Axibase vs. Drizzle vs. EsgynDB vs. GeoSpock vs. Hazelcast

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonHazelcast  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.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSpatial and temporal data processing engine for extreme data scaleA widely adopted in-memory data grid
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsTime Series DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Websiteaxibase.com/­docs/­atsd/­financewww.esgyn.cngeospock.comhazelcast.com
Technical documentationhazelcast.org/­imdg/­docs
DeveloperAxibase CorporationDrizzle project, originally started by Brian AkerEsgynGeoSpockHazelcast
Initial release2013200820152008
Current release155857.2.4, September 20122.0, September 20195.3.6, November 2023
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoGNU GPLcommercialcommercialOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, JavaJava, JavascriptJava
Server operating systemsLinuxFreeBSD
Linux
OS X
LinuxhostedAll OS with a Java VM
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesyesyes
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 infothe object must implement a serialization strategy
Secondary indexesnoyesyestemporal, categoricalyes
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionsyesANSI SQL for query only (using Presto)SQL-like query language
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
JDBCADO.NET
JDBC
ODBC
JDBCJCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesGo
Java
PHP
Python
R
Ruby
C
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.Net.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesnoJava Stored Proceduresnoyes infoEvent Listeners, Executor Services
Triggersyesno infohooks for callbacks inside the server can be used.nonoyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardAccess rights for users can be defined per tableRole-based access control

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More resources
AxibaseDrizzleEsgynDBGeoSpockHazelcast
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