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DBMS > BigchainDB vs. Google Cloud Datastore vs. OpenQM vs. PouchDB vs. Warp 10

System Properties Comparison BigchainDB vs. Google Cloud Datastore vs. OpenQM vs. PouchDB vs. Warp 10

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPouchDB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformQpenQM is a high-performance, self-tuning, multi-value DBMSJavaScript DBMS with an API inspired by CouchDBTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeDocument storeMultivalue DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score4.47
Rank#76  Overall
#12  Document stores
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.bigchaindb.comcloud.google.com/­datastorewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmpouchdb.comwww.warp10.io
Technical documentationbigchaindb.readthedocs.io/­en/­latestcloud.google.com/­datastore/­docspouchdb.com/­guideswww.warp10.io/­content/­02_Getting_started
DeveloperGoogleRocket Software, originally Martin PhillipsApache Software FoundationSenX
Initial release20162008199320122015
Current release3.4-127.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoGPLv2, extended commercial license availableOpen SourceOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJavaScriptJava
Server operating systemsLinuxhostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeschema-freeschema-freeyes infowith some exceptionsschema-freeschema-free
Typing infopredefined data types such as float or datenoyes, details herenoyes
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.nonoyesnono
Secondary indexesyesyesyes infovia viewsno
SQL infoSupport of SQLnoSQL-like query language (GQL)nonono
APIs and other access methodsCLI Client
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP API
Jupyter
WebSocket
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Basic
C
Java
Objective C
PHP
Python
JavaScript
Server-side scripts infoStored proceduresusing Google App EngineyesView functions in JavaScriptyes infoWarpScript
TriggersCallbacks using the Google Apps Engineyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesSharding infowith a proxy-based framework, named couchdb-loungeSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication using PaxosyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes 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 ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes 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.noyesyes
User concepts infoAccess controlyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights can be defined down to the item levelnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
BigchainDBGoogle Cloud DatastoreOpenQM infoalso called QMPouchDBWarp 10
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