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DBMS > Adabas vs. HEAVY.AI vs. QuestDB vs. Realm

System Properties Comparison Adabas vs. HEAVY.AI vs. QuestDB vs. Realm

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonQuestDB  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA high performance open source SQL database for time series dataA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelMultivalue DBMSRelational DBMSTime Series DBMSDocument store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlgithub.com/­heavyai/­heavydb
www.heavy.ai
questdb.iorealm.io
Technical documentationdocs.heavy.aiquestdb.io/­docsrealm.io/­docs
DeveloperSoftware AGHEAVY.AI, Inc.QuestDB Technology IncRealm, acquired by MongoDB in May 2019
Initial release1971201620142014
Current release5.10, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAJava (Zero-GC), C++, Rust
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
LinuxLinux
macOS
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolyes
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 indexesyesnonoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayyesSQL with time-series extensionsno
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
Thrift
Vega
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesNaturalAll languages supporting JDBC/ODBC/Thrift
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresin Naturalnonono inforuns within the applications so server-side scripts are unnecessary
Triggersnononoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infoRound robinhorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replicationSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infothrough memory mapped filesyes infoIn-Memory realm
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardyes
More information provided by the system vendor
Adabas infodenotes "adaptable data base"HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022QuestDBRealm
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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