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DBMS > Adabas vs. Apache Druid vs. Google Cloud Bigtable vs. STSdb vs. TimescaleDB

System Properties Comparison Adabas vs. Apache Druid vs. Google Cloud Bigtable vs. STSdb vs. TimescaleDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache Druid  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonSTSdb  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelMultivalue DBMSRelational DBMS
Time Series DBMS
Key-value store
Wide column store
Key-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#91  Overall
#1  Multivalue DBMS
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score0.06
Rank#365  Overall
#55  Key-value stores
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmldruid.apache.orgcloud.google.com/­bigtablegithub.com/­STSSoft/­STSdb4www.timescale.com
Technical documentationdruid.apache.org/­docs/­latest/­designcloud.google.com/­bigtable/­docsdocs.timescale.com
DeveloperSoftware AGApache Software Foundation and contributorsGoogleSTS Soft SCTimescale
Initial release19712012201520112017
Current release29.0.1, April 20244.0.8, September 20152.13.0, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialOpen Source infoGPLv2, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#C
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Unix
hostedWindowsLinux
OS X
Windows
Data schemeyesyes infoschema-less columns are supportedschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyes infoprimitive types and user defined types (classes)numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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 indexesyesyesnonoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL for queryingnonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
RESTful HTTP/JSON API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesNaturalClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresin Naturalnononouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infomanual/auto, time-basedShardingnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes, via HDFS, S3 or other storage enginesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-row operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nononono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)RBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standard

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More resources
Adabas infodenotes "adaptable data base"Apache DruidGoogle Cloud BigtableSTSdbTimescaleDB
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