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DBMS > AlaSQL vs. GigaSpaces vs. H2 vs. LevelDB vs. TDSQL for MySQL

System Properties Comparison AlaSQL vs. GigaSpaces vs. H2 vs. LevelDB vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGigaSpaces  Xexclude from comparisonH2  Xexclude from comparisonLevelDB  Xexclude from comparisonTDSQL for MySQL  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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelDocument store
Relational DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#259  Overall
#40  Document stores
#120  Relational DBMS
Score1.02
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score8.22
Rank#50  Overall
#32  Relational DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Score0.82
Rank#213  Overall
#97  Relational DBMS
Websitealasql.orgwww.gigaspaces.comwww.h2database.comgithub.com/­google/­leveldbwww.tencentcloud.com/­products/­dcdb
Technical documentationgithub.com/­AlaSQL/­alasqldocs.gigaspaces.com/­latest/­landing.htmlwww.h2database.com/­html/­main.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.tencentcloud.com/­document/­product/­1042
DeveloperAndrey Gershun & Mathias R. WulffGigaspaces TechnologiesThomas MuellerGoogleTencent
Initial release20142000200520112013
Current release15.5, September 20202.2.220, July 20231.23, February 2021
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 infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJava, C++, .NetJavaC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Solaris
Windows
All OS with a Java VMIllumos
Linux
OS X
Windows
hosted
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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 metadatanonono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-99 for query and DML statementsyesnoyes
APIs and other access methodsJavaScript APIGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
JDBC
ODBC
Supported programming languagesJavaScript.Net
C++
Java
Python
Scala
JavaC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesJava Stored Procedures and User-Defined Functionsnoyes
Triggersyesyes, event driven architectureyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenoneAutomatic sharding
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 databasenoneMulti-source replication
Source-replica replication
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-storageACIDACIDnoACID
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 FileStorageyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlnoRole-based access controlfine grained access rights according to SQL-standardnoUsers with fine-grained authorization concept

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More resources
AlaSQLGigaSpacesH2LevelDBTDSQL for MySQL
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