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

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

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonIgnite  Xexclude from comparisonNewts  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 CouchDBApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Time Series DBMS based on Cassandra
Primary database modelKey-value store
Wide column store
Document storeKey-value store
Relational 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
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitecloud.google.com/­bigtablewww.ibm.com/­products/­cloudantignite.apache.orgopennms.github.io/­newts
Technical documentationcloud.google.com/­bigtable/­docscloud.ibm.com/­docs/­Cloudantapacheignite.readme.io/­docsgithub.com/­OpenNMS/­newts/­wiki
DeveloperGoogleIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Apache Software FoundationOpenNMS Group
Initial release2015201020152014
Current releaseApache Ignite 2.6
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
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 languageErlangC++, Java, .NetJava
Server operating systemshostedhostedLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenonoyesyes
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.nonoyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP/JSON APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST
Java API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Java
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptyes (compute grid and cache interceptors can be used instead)no
Triggersnoyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on Cassandra
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
yes (replicated cache)selectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
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 possibleACIDno
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.nonoyesno
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 databaseSecurity Hooks for custom implementationsno

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More resources
Google Cloud BigtableIBM CloudantIgniteNewts
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