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DBMS > Adabas vs. Cloudflare Workers KV vs. Lovefield vs. Prometheus vs. Spark SQL

System Properties Comparison Adabas vs. Cloudflare Workers KV vs. Lovefield vs. Prometheus vs. Spark SQL

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonLovefield  Xexclude from comparisonPrometheus  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA 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 JavaScriptOpen-source Time Series DBMS and monitoring systemSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelMultivalue DBMSKey-value storeRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.cloudflare.com/­developer-platform/­workers-kvgoogle.github.io/­lovefieldprometheus.iospark.apache.org/­sql
Technical documentationdevelopers.cloudflare.com/­kv/­apigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdprometheus.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSoftware AGCloudflareGoogleApache Software Foundation
Initial release19712018201420152014
Current release2.1.12, February 20173.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptGoScala
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesyesnoyesnono
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoSQL-like query language infovia JavaScript builder patternnoSQL-like DML and DDL statements
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
HTTP REST
Proprietary protocol
RESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesNaturalC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
JavaScript.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresin Naturalnononono
TriggersnonoUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistanoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryesnoneyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing MemoryDBnono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)nonono

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More resources
Adabas infodenotes "adaptable data base"Cloudflare Workers KVLovefieldPrometheusSpark SQL
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