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DBMS > Adabas vs. FeatureBase vs. Google BigQuery vs. Hawkular Metrics vs. Percona Server for MongoDB

System Properties Comparison Adabas vs. FeatureBase vs. Google BigQuery vs. Hawkular Metrics vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonFeatureBase  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Large scale data warehouse service with append-only tablesHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelMultivalue DBMSRelational DBMSRelational DBMSTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.64
Rank#104  Overall
#1  Multivalue DBMS
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score52.67
Rank#19  Overall
#13  Relational DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score0.50
Rank#250  Overall
#39  Document stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.featurebase.comcloud.google.com/­bigquerywww.hawkular.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.featurebase.comcloud.google.com/­bigquery/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.percona.com/­percona-distribution-for-mongodb
DeveloperSoftware AGMolecula and Pilosa Open Source ContributorsGoogleCommunity supported by Red HatPercona
Initial release19712017201020142015
Current release2022, May 20223.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
macOS
hostedLinux
OS X
Windows
Linux
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesnononoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL queriesyesnono
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
gRPC
JDBC
Kafka Connector
ODBC
RESTful HTTP/JSON APIHTTP RESTproprietary protocol using JSON
Supported programming languagesNaturalJava
Python
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Go
Java
Python
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresin Naturaluser defined functions infoin JavaScriptnoJavaScript
Triggersnononoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingnoneSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryesselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesno infoSince BigQuery is designed for querying datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnonoyes infovia In-Memory Engine
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)noAccess rights for users and roles

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More resources
Adabas infodenotes "adaptable data base"FeatureBaseGoogle BigQueryHawkular MetricsPercona Server for MongoDB
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