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DBMS > Google Cloud Datastore vs. JSqlDb vs. MonetDB vs. QuestDB vs. Warp 10

System Properties Comparison Google Cloud Datastore vs. JSqlDb vs. MonetDB vs. QuestDB vs. Warp 10

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonJSqlDb  Xexclude from comparisonMonetDB  Xexclude from comparisonQuestDB  Xexclude from comparisonWarp 10  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformJavaScript Query Language Database, stores JavaScript objects and primitivesA relational database management system that stores data in columnsA high performance open source SQL database for time series dataTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeDocument store
Object oriented DBMS
Relational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitecloud.google.com/­datastorejsqldb.org (offline)www.monetdb.orgquestdb.iowww.warp10.io
Technical documentationcloud.google.com/­datastore/­docswww.monetdb.org/­Documentationquestdb.io/­docswww.warp10.io/­content/­02_Getting_started
DeveloperGoogleKonrad von BackstromMonetDB BVQuestDB Technology IncSenX
Initial release20082018200420142015
Current release0.8, December 2018Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava (Zero-GC), C++, RustJava
Server operating systemshostedLinux
macOS
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyes, details herenoyesyesyes
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
Secondary indexesyesnoyesnono
SQL infoSupport of SQLSQL-like query language (GQL)noyes infoSQL 2003 with some extensionsSQL with time-series extensionsno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP API
Jupyter
WebSocket
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScriptC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresusing Google App Enginefunctions in JavaScriptyes, in SQL, C, Rnoyes infoWarpScript
TriggersCallbacks using the Google Apps Enginenoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding via remote tableshorizontal partitioning (by timestamps)Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosnonenone infoSource-replica replication available in experimental statusSource-replica replication with eventual consistencyselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing RocksDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infothrough memory mapped filesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
Google Cloud DatastoreJSqlDbMonetDBQuestDBWarp 10
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
Google Cloud DatastoreJSqlDbMonetDBQuestDBWarp 10
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