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DBMS > AlaSQL vs. Datomic vs. GridGain vs. Microsoft Azure Synapse Analytics vs. NSDb

System Properties Comparison AlaSQL vs. Datomic vs. GridGain vs. Microsoft Azure Synapse Analytics vs. NSDb

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonDatomic  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionJavaScript DBMS libraryDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGridGain is an in-memory computing platform, built on Apache IgniteElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value store
Relational DBMS
Relational DBMSTime Series 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
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitealasql.orgwww.datomic.comwww.gridgain.comazure.microsoft.com/­services/­synapse-analyticsnsdb.io
Technical documentationgithub.com/­AlaSQL/­alasqldocs.datomic.comwww.gridgain.com/­docs/­index.htmldocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecture
DeveloperAndrey Gershun & Mathias R. WulffCognitectGridGain Systems, Inc.Microsoft
Initial release20142012200720162017
Current release1.0.7075, December 2023GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infolimited edition freecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJava, ClojureJava, C++, .NetC++Java, Scala
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VMLinux
OS X
Solaris
Windows
hostedLinux
macOS
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes: int, bigint, decimal, string
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.nonoyesnono
Secondary indexesnoyesyesyesall fields are automatically indexed
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noANSI-99 for query and DML statements, subset of DDLyesSQL-like query language
APIs and other access methodsJavaScript APIRESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
Supported programming languagesJavaScriptClojure
Java
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
PHP
Java
Scala
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyes (compute grid and cache interceptors can be used instead)Transact SQLno
TriggersyesBy using transaction functionsyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersyes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual 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)yesyesUsing Apache Lucene
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 developmentyes
User concepts infoAccess controlnonoSecurity Hooks for custom implementationsyes

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More resources
AlaSQLDatomicGridGainMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDb
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