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DBMS > Google BigQuery vs. Google Cloud Datastore vs. Heroic vs. SAP HANA vs. SQL.JS

System Properties Comparison Google BigQuery vs. Google Cloud Datastore vs. Heroic vs. SAP HANA vs. SQL.JS

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHeroic  Xexclude from comparisonSAP HANA  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchIn-memory, column based data store. Available as appliance or cloud servicePort of SQLite to JavaScript
Primary database modelRelational DBMSDocument storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitecloud.google.com/­bigquerycloud.google.com/­datastoregithub.com/­spotify/­heroicwww.sap.com/­products/­hana.htmlsql.js.org
Technical documentationcloud.google.com/­bigquery/­docscloud.google.com/­datastore/­docsspotify.github.io/­heroichelp.sap.com/­hanasql.js.org/­documentation/­index.html
DeveloperGoogleGoogleSpotifySAPAlon Zakai infoenhancements implemented by others
Initial release20102008201420102012
Current release2.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesyesnono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScript
Server operating systemshostedhostedAppliance or cloud-serviceserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyesyes
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.nonononono
Secondary indexesnoyesyes infovia Elasticsearchyes
SQL infoSupport of SQLyesSQL-like query language (GQL)noyesyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP/JSON APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
JavaScript API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptusing Google App EnginenoSQLScript, Rno
TriggersnoCallbacks using the Google Apps Enginenoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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.Eventual Consistency
Immediate Consistency
Immediate Consistencynone
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesno

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More resources
Google BigQueryGoogle Cloud DatastoreHeroicSAP HANASQL.JS
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