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DBMS > AlaSQL vs. Datomic vs. GigaSpaces vs. Microsoft Azure Synapse Analytics vs. TempoIQ

System Properties Comparison AlaSQL vs. Datomic vs. GigaSpaces vs. Microsoft Azure Synapse Analytics vs. TempoIQ

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonDatomic  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitealasql.orgwww.datomic.comwww.gigaspaces.comazure.microsoft.com/­services/­synapse-analyticstempoiq.com (offline)
Technical documentationgithub.com/­AlaSQL/­alasqldocs.datomic.comdocs.gigaspaces.com/­latest/­landing.htmldocs.microsoft.com/­azure/­synapse-analytics
DeveloperAndrey Gershun & Mathias R. WulffCognitectGigaspaces TechnologiesMicrosoftTempoIQ
Initial release20142012200020162012
Current release1.0.6735, June 202315.5, September 2020
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infolimited edition freeOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJava, ClojureJava, C++, .NetC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VMLinux
macOS
Solaris
Windows
hosted
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonono infoXML can be used for describing objects metadatanono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noSQL-99 for query and DML statementsyesno
APIs and other access methodsJavaScript APIRESTful HTTP APIGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
HTTP API
Supported programming languagesJavaScriptClojure
Java
.Net
C++
Java
Python
Scala
C#
Java
PHP
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsyesTransact SQLno
TriggersyesBy using transaction functionsyes, event driven architecturenoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integrityyesnonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlnonoRole-based access controlyessimple authentication-based access control

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More resources
AlaSQLDatomicGigaSpacesMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTempoIQ infoformerly TempoDB
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