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DBMS > Databend vs. Google Cloud Bigtable vs. HBase vs. Tibero vs. Titan

System Properties Comparison Databend vs. Google Cloud Bigtable vs. HBase vs. Tibero vs. Titan

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHBase  Xexclude from comparisonTibero  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.
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityGoogle'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 BigTableA secure RDBMS, designed for easy portability from OracleTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSKey-value store
Wide column store
Wide column storeRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
cloud.google.com/­bigtablehbase.apache.orgus.tmaxsoft.com/­products/­tiberogithub.com/­thinkaurelius/­titan
Technical documentationdocs.databend.comcloud.google.com/­bigtable/­docshbase.apache.org/­book.htmltechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperDatabend LabsGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetTmaxSoftAurelius, owned by DataStax
Initial release20212015200820032012
Current release1.0.59, April 20232.3.4, January 20216, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache version 2commercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJavaC and AssemblerJava
Server operating systemshosted
Linux
macOS
hostedLinux
Unix
Windows infousing Cygwin
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesnooptions 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.nononoyes
Secondary indexesnononoyesyes
SQL infoSupport of SQLyesnonoyesno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Clojure
Java
Python
Server-side scripts infoStored proceduresnonoyes infoCoprocessors in JavaPersistent Stored Procedure (PSM)yes
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning infoby range, hash, list or compositeyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic single-row operationsSingle row ACID (across millions of columns)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.noyesno infoplanned for next version
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess 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 & ABACfine grained access rights according to SQL-standard (SQL 92, SQL 99)User authentification and security via Rexster Graph Server

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DatabendGoogle Cloud BigtableHBaseTiberoTitan
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