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DBMS > Adabas vs. Apache Druid vs. FeatureBase vs. WakandaDB

System Properties Comparison Adabas vs. Apache Druid vs. FeatureBase vs. WakandaDB

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache Druid  Xexclude from comparisonFeatureBase  Xexclude from comparisonWakandaDB  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 dataReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelMultivalue DBMSRelational DBMS
Time Series DBMS
Relational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmldruid.apache.orgwww.featurebase.comwakanda.github.io
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.featurebase.comwakanda.github.io/­doc
DeveloperSoftware AGApache Software Foundation and contributorsMolecula and Pilosa Open Source ContributorsWakanda SAS
Initial release1971201220172012
Current release29.0.1, April 20242022, May 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++, JavaScript
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Unix
Linux
macOS
Linux
OS X
Windows
Data schemeyesyes infoschema-less columns are supportedyesyes
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.nononono
Secondary indexesyesyesno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL for queryingSQL queriesno
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
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Supported programming languagesNaturalClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
Python
JavaScript
Server-side scripts infoStored proceduresin Naturalnoyes
Triggersnononoyes
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-basedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes, via HDFS, S3 or other storage enginesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
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 systemyes

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More resources
Adabas infodenotes "adaptable data base"Apache DruidFeatureBaseWakandaDB
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