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DBMS > BigchainDB vs. Google Cloud Bigtable vs. KeyDB vs. Rockset vs. Valentina Server

System Properties Comparison BigchainDB vs. Google Cloud Bigtable vs. KeyDB vs. Rockset vs. Valentina Server

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKeyDB  Xexclude from comparisonRockset  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA scalable, reliable search and analytics service in the cloud, built on RocksDBObject-relational database and reports server
Primary database modelDocument storeKey-value store
Wide column store
Key-value storeDocument storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.82
Rank#212  Overall
#36  Document stores
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitewww.bigchaindb.comcloud.google.com/­bigtablegithub.com/­Snapchat/­KeyDB
keydb.dev
rockset.comwww.valentina-db.net
Technical documentationbigchaindb.readthedocs.io/­en/­latestcloud.google.com/­bigtable/­docsdocs.keydb.devdocs.rockset.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGoogleEQ Alpha Technology Ltd.RocksetParadigma Software
Initial release20162015201920191999
Current release5.7.5
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoBSD-3commercialcommercial
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 languagePythonC++C++
Server operating systemsLinuxhostedLinuxhostedLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesdynamic 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 supported
Secondary indexesnoyes infoby using the Redis Search moduleall fields are automatically indexedyes
SQL infoSupport of SQLnononoRead-only SQL queries, including JOINsyes
APIs and other access methodsCLI Client
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Proprietary protocol infoRESP - REdis Serialization ProtocoHTTP RESTODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoLuanoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Strong eventual consistency with CRDTs
Eventual Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
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)simple password-based access control and ACLAccess rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standard

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More resources
BigchainDBGoogle Cloud BigtableKeyDBRocksetValentina Server
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