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DBMS > Google Cloud Bigtable vs. HBase vs. Titan vs. WakandaDB

System Properties Comparison Google Cloud Bigtable vs. HBase vs. Titan vs. WakandaDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHBase  Xexclude from comparisonTitan  Xexclude from comparisonWakandaDB  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.Wide-column store based on Apache Hadoop and on concepts of BigTableTitan is a Graph DBMS optimized for distributed clusters.WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelKey-value store
Wide column store
Wide column storeGraph DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score31.25
Rank#26  Overall
#2  Wide column stores
Score0.09
Rank#352  Overall
#16  Object oriented DBMS
Websitecloud.google.com/­bigtablehbase.apache.orggithub.com/­thinkaurelius/­titanwakanda.github.io
Technical documentationcloud.google.com/­bigtable/­docshbase.apache.org/­book.htmlgithub.com/­thinkaurelius/­titan/­wikiwakanda.github.io/­doc
DeveloperGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetAurelius, owned by DataStaxWakanda SAS
Initial release2015200820122012
Current release2.3.4, January 20212.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache license, version 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++, JavaScript
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROyesyes
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 indexesnonoyes
SQL infoSupport of SQLnononono
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RESTful HTTP API
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
Clojure
Java
Python
JavaScript
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javayesyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infovia pluggable storage backendsnone
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
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsSingle row ACID (across millions of columns)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUser authentification and security via Rexster Graph Serveryes

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More resources
Google Cloud BigtableHBaseTitanWakandaDB
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