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DBMS > AlaSQL vs. Geode vs. HBase vs. Hypertable vs. Ignite

System Properties Comparison AlaSQL vs. Geode vs. HBase vs. Hypertable vs. Ignite

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGeode  Xexclude from comparisonHBase  Xexclude from comparisonHypertable  Xexclude from comparisonIgnite  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesWide-column store based on Apache Hadoop and on concepts of BigTableAn 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.
Primary database modelDocument store
Relational DBMS
Key-value storeWide column storeWide column storeKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websitealasql.orggeode.apache.orghbase.apache.orgignite.apache.org
Technical documentationgithub.com/­AlaSQL/­alasqlgeode.apache.org/­docshbase.apache.org/­book.htmlapacheignite.readme.io/­docs
DeveloperAndrey Gershun & Mathias R. WulffOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Apache Software Foundation infoApache top-level project, originally developed by PowersetHypertable Inc.Apache Software Foundation
Initial release20142002200820092015
Current release1.1, February 20172.3.4, January 20210.9.8.11, March 2016Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache version 2Open Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaJavaC++C++, Java, .Net
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or datenoyesoptions to bring your own types, AVROnoyes
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 indexesnononorestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query language (OQL)nonoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJavaScript APIJava Client API
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
C++ API
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesJavaScript.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functionsyes infoCoprocessors in Javanoyes (compute grid and cache interceptors can be used instead)
Triggersyesyes infoCache Event Listenersyesnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationMulti-source replication
Source-replica replication
selectable replication factor on file system levelyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageyes, on a single nodeSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlnoAccess rights per client and object definableAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoSecurity Hooks for custom implementations

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More resources
AlaSQLGeodeHBaseHypertableIgnite
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