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DBMS > AlaSQL vs. GigaSpaces vs. InfinityDB vs. Vitess

System Properties Comparison AlaSQL vs. GigaSpaces vs. InfinityDB vs. Vitess

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGigaSpaces  Xexclude from comparisonInfinityDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionJavaScript DBMS libraryHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA Java embedded Key-Value Store which extends the Java Map interfaceScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument store
Relational DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Key-value storeRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Spatial 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
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitealasql.orgwww.gigaspaces.comboilerbay.comvitess.io
Technical documentationgithub.com/­AlaSQL/­alasqldocs.gigaspaces.com/­latest/­landing.htmlboilerbay.com/­infinitydb/­manualvitess.io/­docs
DeveloperAndrey Gershun & Mathias R. WulffGigaspaces TechnologiesBoiler Bay Inc.The Linux Foundation, PlanetScale
Initial release2014200020022013
Current release15.5, September 20204.015.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJava, C++, .NetJavaGo
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Solaris
Windows
All OS with a Java VMDocker
Linux
macOS
Data schemeschema-freeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or datenoyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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 metadatano
Secondary indexesnoyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-99 for query and DML statementsnoyes infowith proprietary extensions
APIs and other access methodsJavaScript APIGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJavaScript.Net
C++
Java
Python
Scala
JavaAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesnoyes infoproprietary syntax
Triggersyesyes, event driven architecturenoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnono infomanual creation possible, using inversions based on multi-value capabilityyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlnoRole-based access controlnoUsers with fine-grained authorization concept infono user groups or roles

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AlaSQLGigaSpacesInfinityDBVitess
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