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DBMS > Google Cloud Bigtable vs. IBM Cloudant vs. Newts vs. RavenDB

System Properties Comparison Google Cloud Bigtable vs. IBM Cloudant vs. Newts vs. RavenDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonNewts  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Database as a Service offering based on Apache CouchDBTime Series DBMS based on CassandraOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelKey-value store
Wide column store
Document storeTime Series DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score2.68
Rank#106  Overall
#20  Document stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitecloud.google.com/­bigtablewww.ibm.com/­products/­cloudantopennms.github.io/­newtsravendb.net
Technical documentationcloud.google.com/­bigtable/­docscloud.ibm.com/­docs/­Cloudantgithub.com/­OpenNMS/­newts/­wikiravendb.net/­docs
DeveloperGoogleIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014OpenNMS GroupHibernating Rhinos
Initial release2015201020142010
Current release5.4, July 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoAGPL version 3, commercial license available
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 languageErlangJavaC#
Server operating systemshostedhostedLinux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenonoyesno
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.nonono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnononoSQL-like query language (RQL)
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP/JSON APIHTTP REST
Java API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
Java.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptnoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsno infoatomic operations within a document possiblenoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users can be defined per databasenoAuthorization levels configured per client per database

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More resources
Google Cloud BigtableIBM CloudantNewtsRavenDB
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