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DBMS > Adabas vs. Apache IoTDB vs. Cloudflare Workers KV vs. Lovefield vs. Quasardb

System Properties Comparison Adabas vs. Apache IoTDB vs. Cloudflare Workers KV vs. Lovefield vs. Quasardb

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache IoTDB  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonLovefield  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Embeddable relational database for web apps written in pure JavaScriptDistributed, high-performance timeseries database
Primary database modelMultivalue DBMSTime Series DBMSKey-value storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#91  Overall
#1  Multivalue DBMS
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score0.39
Rank#278  Overall
#39  Key-value stores
Score0.32
Rank#290  Overall
#132  Relational DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmliotdb.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvgoogle.github.io/­lovefieldquasar.ai
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldevelopers.cloudflare.com/­kv/­apigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddoc.quasar.ai/­master
DeveloperSoftware AGApache Software FoundationCloudflareGooglequasardb
Initial release19712018201820142009
Current release1.1.0, April 20232.1.12, February 20173.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageJavaJavaScriptC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VM (>= 1.8)hostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariBSD
Linux
OS X
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes infointeger and binary
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 indexesyesyesnoyesyes infowith tags
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL-like query languagenoSQL-like query language infovia JavaScript builder patternSQL-like query language
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
Native API
HTTP REST
Proprietary protocol
HTTP API
Supported programming languagesNaturalC
C#
C++
Go
Java
Python
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresin Naturalyesnonono
TriggersnoyesnoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistahorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatorselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesnoneSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infousing MemoryDByes infoTransient mode
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)yesnoCryptographically strong user authentication and audit trail

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More resources
Adabas infodenotes "adaptable data base"Apache IoTDBCloudflare Workers KVLovefieldQuasardb
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