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DBMS > Databend vs. Fujitsu Enterprise Postgres vs. GBase vs. HBase

System Properties Comparison Databend vs. Fujitsu Enterprise Postgres vs. GBase vs. HBase

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGBase  Xexclude from comparisonHBase  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Wide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelRelational DBMSRelational DBMSRelational DBMSWide column store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.postgresql.fastware.comwww.gbase.cnhbase.apache.org
Technical documentationdocs.databend.comwww.postgresql.fastware.com/­product-manualshbase.apache.org/­book.html
DeveloperDatabend LabsPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGeneral Data Technology Co., Ltd.Apache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release202120042008
Current release1.0.59, April 2023Fujitsu Enterprise Postgres 14, January 2022GBase 8a, GBase 8s, GBase 8c2.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustCC, Java, PythonJava
Server operating systemshosted
Linux
macOS
Linux
Windows
LinuxLinux
Unix
Windows infousing Cygwin
Data schemeyesyesyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesyesoptions to bring your own types, AVRO
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.noyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLyesyesStandard with numerous extensionsno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
C API
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsyes infoCoprocessors in Java
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashhorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardyesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC
More information provided by the system vendor
DatabendFujitsu Enterprise PostgresGBaseHBase
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
DatabendFujitsu Enterprise PostgresGBaseHBase
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