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DBMS > Adabas vs. Apache Drill vs. Apache Impala vs. Firebase Realtime Database vs. HEAVY.AI

System Properties Comparison Adabas vs. Apache Drill vs. Apache Impala vs. Firebase Realtime Database vs. HEAVY.AI

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache Drill  Xexclude from comparisonApache Impala  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAnalytic DBMS for HadoopCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelMultivalue DBMSDocument store
Relational DBMS
Relational DBMSDocument storeRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#91  Overall
#1  Multivalue DBMS
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score15.00
Rank#39  Overall
#6  Document stores
Score2.10
Rank#126  Overall
#61  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmldrill.apache.orgimpala.apache.orgfirebase.google.com/­products/­realtime-databasegithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdrill.apache.org/­docsimpala.apache.org/­impala-docs.htmlfirebase.google.com/­docs/­databasedocs.heavy.ai
DeveloperSoftware AGApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogle infoacquired by Google 2014HEAVY.AI, Inc.
Initial release19712012201320122016
Current release1.20.3, January 20234.1.0, June 20225.10, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2commercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++ and CUDA
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Windows
LinuxhostedLinux
Data schemeyesschema-freeyesschema-freeyes
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 indexesyesnoyesyesno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL SELECT statement is SQL:2003 compliantSQL-like DML and DDL statementsnoyes
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
RESTful HTTP API
JDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
Supported programming languagesNaturalC++All languages supporting JDBC/ODBCJava
JavaScript
Objective-C
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresin Naturaluser defined functionsyes infouser defined functions and integration of map-reducelimited functionality with using 'rules'no
TriggersnononoCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatorselectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noDepending on the underlying data sourcenoyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Depending on the underlying data sourceAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
Adabas infodenotes "adaptable data base"Apache DrillApache ImpalaFirebase Realtime DatabaseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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