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DBMS > Adabas vs. Alibaba Cloud AnalyticDB for MySQL vs. Bangdb vs. GreptimeDB

System Properties Comparison Adabas vs. Alibaba Cloud AnalyticDB for MySQL vs. Bangdb vs. GreptimeDB

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonBangdb  Xexclude from comparisonGreptimeDB  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.Converged and high performance database for device data, events, time series, document and graphAn open source Time Series DBMS built for increased scalability, high performance and efficiency
Primary database modelMultivalue DBMSRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Time Series DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score0.91
Rank#201  Overall
#94  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.alibabacloud.com/­product/­analyticdb-for-mysqlbangdb.comgreptime.com
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmdocs.bangdb.comdocs.greptime.com
DeveloperSoftware AGAlibabaSachin Sinha, BangDBGreptime Inc.
Initial release197120122022
Current releaseBangDB 2.0, October 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD 3Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Rust
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedLinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
Data schemeyesyesschema-freeschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesyes: string, long, double, int, geospatial, stream, eventsyes
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.noyesnono
Secondary indexesyesyesyes infosecondary, composite, nested, reverse, geospatialyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayyesSQL like support with command line toolyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
gRPC
HTTP API
JDBC
Supported programming languagesNaturalC#
Java
PHP
Python
C
C#
C++
Java
Python
C++
Erlang
Go
Java
JavaScript
Server-side scripts infoStored proceduresin NaturalyesnoPython
Triggersnoyesyes, Notifications (with Streaming only)
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infoImplicit feature of the cloud serviceSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes infoImplicit feature of the cloud serviceselectable replication factor, Knob for CAP (enterprise version only)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, optimistic concurrency controlyes
Durability infoSupport for making data persistentyesyesyes, implements WAL (Write ahead log) as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, run db with in-memory only mode
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardyes (enterprise version only)Simple rights management via user accounts
More information provided by the system vendor
Adabas infodenotes "adaptable data base"Alibaba Cloud AnalyticDB for MySQLBangdbGreptimeDB
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
GreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
» more
- 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 modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more
GreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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Adabas infodenotes "adaptable data base"Alibaba Cloud AnalyticDB for MySQLBangdbGreptimeDB
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