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DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. dBASE vs. GreptimeDB vs. GridGain

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. dBASE vs. GreptimeDB vs. GridGain

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Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDB  Xexclude from comparisondBASE  Xexclude from comparisonGreptimeDB  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionAn online MPP (Massively Parallel Processing) data warehousing service based on GreenplumdBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.An open source Time Series DBMS built for increased scalability, high performance and efficiencyGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#220  Overall
#102  Relational DBMS
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Websitewww.alibabacloud.com/­product/­hybriddb-postgresqlwww.dbase.comgreptime.comwww.gridgain.com
Technical documentationwww.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overviewwww.dbase.com/­support/­knowledgebasedocs.greptime.comwww.gridgain.com/­docs/­index.html
DeveloperAlibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupAsthon TateGreptime Inc.GridGain Systems, Inc.
Initial release2016197920222007
Current releasedBASE 2019, 2019GridGain 8.5.1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJava, C++, .Net
Server operating systemshostedDOS infodBase Classic
Windows infodBase Pro
Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoyesANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJDBC
ODBC
none infoThe IDE can access other DBMS or ODBC-sources.gRPC
HTTP API
JDBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC
Java
Perl
Python
R
dBase proprietary IDEC++
Erlang
Go
Java
JavaScript
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesno infoThe IDE can access stored procedures in other database systems.Pythonyes (compute grid and cache interceptors can be used instead)
Triggersyesnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesSimple rights management via user accountsSecurity Hooks for custom implementations
More information provided by the system vendor
Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBdBASEGreptimeDBGridGain
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBdBASEGreptimeDBGridGain
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