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DBMS > AlaSQL vs. Datomic vs. GBase vs. Rockset vs. Solr

System Properties Comparison AlaSQL vs. Datomic vs. GBase vs. Rockset vs. Solr

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonDatomic  Xexclude from comparisonGBase  Xexclude from comparisonRockset  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionJavaScript DBMS libraryDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A scalable, reliable search and analytics service in the cloud, built on RocksDBA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSDocument storeSearch engine
Secondary database modelsRelational DBMS
Search engine
Spatial 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
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitealasql.orgwww.datomic.comwww.gbase.cnrockset.comsolr.apache.org
Technical documentationgithub.com/­AlaSQL/­alasqldocs.datomic.comdocs.rockset.comsolr.apache.org/­resources.html
DeveloperAndrey Gershun & Mathias R. WulffCognitectGeneral Data Technology Co., Ltd.RocksetApache Software Foundation
Initial release20142012200420192006
Current release1.0.6735, June 2023GBase 8a, GBase 8s, GBase 8c9.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infolimited edition freecommercialcommercialOpen Source infoApache Version 2
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, ClojureC, Java, PythonC++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VMLinuxhostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesyesdynamic typingyes infosupports customizable data types and automatic typing
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.nonoyesno infoingestion from XML files supportedyes
Secondary indexesnoyesyesall fields are automatically indexedyes infoAll search fields are automatically indexed
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noStandard with numerous extensionsRead-only SQL queries, including JOINsSolr Parallel SQL Interface
APIs and other access methodsJavaScript APIRESTful HTTP APIADO.NET
C API
JDBC
ODBC
HTTP RESTJava API
RESTful HTTP/JSON API
Supported programming languagesJavaScriptClojure
Java
C#Go
Java
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsuser defined functionsnoJava plugins
TriggersyesBy using transaction functionsyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peershorizontal partitioning (by range, list and hash) and vertical partitioningAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDnooptimistic locking
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 developmentyes
User concepts infoAccess controlnonoyesAccess rights for users and organizations can be defined via Rockset consoleyes

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More resources
AlaSQLDatomicGBaseRocksetSolr
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