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DBMS > AlaSQL vs. GigaSpaces vs. H2 vs. Immudb vs. searchxml

System Properties Comparison AlaSQL vs. GigaSpaces vs. H2 vs. Immudb vs. searchxml

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGigaSpaces  Xexclude from comparisonH2  Xexclude from comparisonImmudb  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionJavaScript DBMS libraryHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.DBMS for structured and unstructured content wrapped with an application server
Primary database modelDocument store
Relational DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMSKey-value storeNative XML DBMS
Search engine
Secondary database modelsGraph DBMS
Search engine
Spatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websitealasql.orgwww.gigaspaces.comwww.h2database.comgithub.com/­codenotary/­immudb
immudb.io
www.searchxml.net/­category/­products
Technical documentationgithub.com/­AlaSQL/­alasqldocs.gigaspaces.com/­latest/­landing.htmlwww.h2database.com/­html/­main.htmldocs.immudb.iowww.searchxml.net/­support/­handouts
DeveloperAndrey Gershun & Mathias R. WulffGigaspaces TechnologiesThomas MuellerCodenotaryinformationpartners gmbh
Initial release20142000200520202015
Current release15.5, September 20202.2.220, July 20231.2.3, April 20221.0
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2; Commercial licenses availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2.0commercial
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 languageJavaScriptJava, C++, .NetJavaGoC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Solaris
Windows
All OS with a Java VMBSD
Linux
macOS
Solaris
Windows
z/OS
Windows
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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 infoXML can be used for describing objects metadatanonoyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-99 for query and DML statementsyesSQL-like syntaxno
APIs and other access methodsJavaScript APIGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
gRPC protocol
PostgreSQL wire protocol
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesJavaScript.Net
C++
Java
Python
Scala
Java.Net
Go
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoyesJava Stored Procedures and User-Defined Functionsnoyes infoon the application server
Triggersyesyes, event driven architectureyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
With clustering: 2 database servers on different computers operate on identical copies of a databaseyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesyesnono
User concepts infoAccess controlnoRole-based access controlfine grained access rights according to SQL-standardDomain, group and role-based access control at the document level and for application services

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More resources
AlaSQLGigaSpacesH2Immudbsearchxml
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