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DBMS > Alibaba Cloud MaxCompute vs. Badger vs. Brytlyt vs. Fujitsu Enterprise Postgres vs. SpatiaLite

System Properties Comparison Alibaba Cloud MaxCompute vs. Badger vs. Brytlyt vs. Fujitsu Enterprise Postgres vs. SpatiaLite

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonBadger  Xexclude from comparisonBrytlyt  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Spatial extension of SQLite
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesKey-value storeRelational DBMSRelational DBMSSpatial DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitewww.alibabacloud.com/­product/­maxcomputegithub.com/­dgraph-io/­badgerbrytlyt.iowww.postgresql.fastware.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputegodoc.org/­github.com/­dgraph-io/­badgerdocs.brytlyt.iowww.postgresql.fastware.com/­product-manualswww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperAlibabaDGraph LabsBrytlytPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyAlessandro Furieri
Initial release2016201720162008
Current release5.0, August 2023Fujitsu Enterprise Postgres 14, January 20225.0.0, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++ and CUDACC++
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
Windows
server-less
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyesyesyes
APIs and other access methodsFluentd
Flume
MaxCompute Console
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJavaGo.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin Javanouser defined functions infoin PL/pgSQLuser defined functionsno
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonepartitioning by range, list and by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
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 and rolesnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno
More information provided by the system vendor
Alibaba Cloud MaxComputeBadgerBrytlytFujitsu Enterprise PostgresSpatiaLite
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
Alibaba Cloud MaxComputeBadgerBrytlytFujitsu Enterprise PostgresSpatiaLite
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