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DBMS > AlaSQL vs. Google Cloud Datastore vs. H2 vs. Rockset vs. TerminusDB

System Properties Comparison AlaSQL vs. Google Cloud Datastore vs. H2 vs. Rockset vs. TerminusDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonH2  Xexclude from comparisonRockset  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionJavaScript DBMS libraryAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A scalable, reliable search and analytics service in the cloud, built on RocksDBScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMSDocument storeGraph DBMS
Secondary database modelsSpatial DBMSRelational DBMS
Search engine
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#259  Overall
#40  Document stores
#120  Relational DBMS
Score4.49
Rank#79  Overall
#12  Document stores
Score8.22
Rank#50  Overall
#32  Relational DBMS
Score0.84
Rank#209  Overall
#35  Document stores
Score0.22
Rank#323  Overall
#28  Graph DBMS
Websitealasql.orgcloud.google.com/­datastorewww.h2database.comrockset.comterminusdb.com
Technical documentationgithub.com/­AlaSQL/­alasqlcloud.google.com/­datastore/­docswww.h2database.com/­html/­main.htmldocs.rockset.comterminusdb.github.io/­terminusdb/­#
DeveloperAndrey Gershun & Mathias R. WulffGoogleThomas MuellerRocksetDataChemist Ltd.
Initial release20142008200520192018
Current release2.2.220, July 202311.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaC++Prolog, Rust
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedAll OS with a Java VMhostedLinux
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyes, details hereyesdynamic typingyes
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.nononono infoingestion from XML files supportedno
Secondary indexesnoyesyesall fields are automatically indexed
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query language (GQL)yesRead-only SQL queries, including JOINsSQL-like query language (WOQL)
APIs and other access methodsJavaScript APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
HTTP RESTOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesJavaScript.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaGo
Java
JavaScript (Node.js)
Python
JavaScript
Python
Server-side scripts infoStored proceduresnousing Google App EngineJava Stored Procedures and User-Defined Functionsnoyes
TriggersyesCallbacks using the Google Apps Engineyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneAutomatic shardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using PaxosWith clustering: 2 database servers on different computers operate on identical copies of a databaseyesJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnoACID
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 FileStorageyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset consoleRole-based access control

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More resources
AlaSQLGoogle Cloud DatastoreH2RocksetTerminusDB infoformer name was DataChemist
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