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DBMS > Google Cloud Bigtable vs. KairosDB vs. NSDb vs. OrigoDB vs. Titan

System Properties Comparison Google Cloud Bigtable vs. KairosDB vs. NSDb vs. OrigoDB vs. Titan

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonKairosDB  Xexclude from comparisonNSDb  Xexclude from comparisonOrigoDB  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Distributed Time Series DBMS based on Cassandra or H2Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fully ACID in-memory object graph databaseTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelKey-value store
Wide column store
Time Series DBMSTime Series DBMSDocument store
Object oriented DBMS
Graph 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
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitecloud.google.com/­bigtablegithub.com/­kairosdb/­kairosdbnsdb.ioorigodb.comgithub.com/­thinkaurelius/­titan
Technical documentationcloud.google.com/­bigtable/­docskairosdb.github.ionsdb.io/­Architectureorigodb.com/­docsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperGoogleRobert Friberg et alAurelius, owned by DataStax
Initial release2015201320172009 infounder the name LiveDB2012
Current release1.2.2, November 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0Open SourceOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ScalaC#Java
Server operating systemshostedLinux
OS X
Windows
Linux
macOS
Linux
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes: int, bigint, decimal, stringUser defined using .NET types and collectionsyes
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 infocan be achieved using .NET
Secondary indexesnonoall fields are automatically indexedyesyes
SQL infoSupport of SQLnonoSQL-like query languagenono
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Graphite protocol
HTTP REST
Telnet API
gRPC
HTTP REST
WebSocket
.NET Client API
HTTP API
LINQ
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Java
JavaScript infoNode.js
PHP
Python
Java
Scala
.NetClojure
Java
Python
Server-side scripts infoStored proceduresnononoyesyes
Triggersnonoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardinghorizontal partitioning infoclient side managed; servers are not synchronizedyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor infobased on CassandraSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes infovia Faunus, a graph analytics engine
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 infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononodepending on modelyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes infoWrite ahead logyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple password-based access controlRole based authorizationUser authentification and security via Rexster Graph Server

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More resources
Google Cloud BigtableKairosDBNSDbOrigoDBTitan
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