DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Google Cloud Datastore vs. IBM Db2 warehouse vs. PouchDB vs. RocksDB

System Properties Comparison Google Cloud Datastore vs. IBM Db2 warehouse vs. PouchDB vs. RocksDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonPouchDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformCloud-based data warehousing serviceJavaScript DBMS with an API inspired by CouchDBEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelDocument storeRelational DBMSDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.98
Rank#70  Overall
#12  Document stores
Score1.23
Rank#164  Overall
#75  Relational DBMS
Score2.08
Rank#116  Overall
#21  Document stores
Score2.96
Rank#89  Overall
#13  Key-value stores
Websitecloud.google.com/­datastorewww.ibm.com/­products/­db2/­warehousepouchdb.comrocksdb.org
Technical documentationcloud.google.com/­datastore/­docspouchdb.com/­guidesgithub.com/­facebook/­rocksdb/­wiki
DeveloperGoogleIBMApache Software FoundationFacebook, Inc.
Initial release2008201420122013
Current release7.1.1, June 20199.4.0, June 2024
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++
Server operating systemshostedhostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyes, details hereyesnono
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.nono infoImport/export of XML data possiblenono
Secondary indexesyesyesyes infovia viewsno
SQL infoSupport of SQLSQL-like query language (GQL)yesnono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
OLE DB
HTTP REST infoonly for PouchDB Server
JavaScript API
C++ API
Java API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaScriptC
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresusing Google App EnginePL/SQL, SQL PLView functions in JavaScriptno
TriggersCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownoyesno
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 ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
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-standardnono

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google Cloud DatastoreIBM Db2 warehouse infoformerly named IBM dashDBPouchDBRocksDB
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

show all

Recent citations in the news

What Is Google Cloud? Platform, Benefits & More Explained
17 October 2024, Cloudwards

Google Gets Rid of Fees To Transfer Data Out of Cloud Platform
12 January 2024, Spiceworks News and Insights

Google App Engine
26 April 2024, TechTarget

17 Top Cloud Storage Companies to Know
9 April 2024, Built In

Best cloud storage of 2024
16 October 2024, TechRadar

provided by Google News

Tackling AI’s data challenges with IBM databases on AWS
14 March 2024, ibm.com

Top 20 most-asked questions about Amazon RDS for Db2 answered
8 April 2024, ibm.com

Data Mining in Db2 Warehouse: the basics
23 June 2020, Towards Data Science

Top 7 Cloud Data Warehouse Companies
31 May 2023, Datamation

Db2 Warehouse delivers 4x faster query performance than previously, while cutting storage costs by 34x
11 July 2023, ibm.com

provided by Google News

Building an Offline First App with PouchDB
10 March 2014, SitePoint

provided by Google News

Kioxia Demonstrates Flexible Data Placement-Enabled SSD Running RocksDB at 2024 OCP Global Summit
15 October 2024, Business Wire

Correcting And Replacing Kioxia Demonstrates Flexible Data Placement-Enabled SSD Running RocksDB at 2024 OCP Global Summit
21 October 2024, BERNAMA

Kioxia Demonstrates Flexible Data Placement-Enabled SSD Running RocksDB At 2024 OCP Global Summit
16 October 2024, BERNAMA

Tech News | American Press Technology News
14 October 2024, Business Wire

Toshiba Memory America Optimizes RocksDB for SSDs
1 August 2019, Business Wire

provided by Google News



Share this page

Featured Products

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here