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DBMS > Apache Spark (SQL) vs. Cloudflare Workers KV vs. Hawkular Metrics

System Properties Comparison Apache Spark (SQL) vs. Cloudflare Workers KV vs. Hawkular Metrics

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelRelational DBMSKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.73
Rank#35  Overall
#20  Relational DBMS
Score0.28
Rank#285  Overall
#40  Key-value stores
Score0.01
Rank#373  Overall
#38  Time Series DBMS
Websitespark.apache.org/­sqlwww.cloudflare.com/­developer-platform/­workers-kvwww.hawkular.org
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldevelopers.cloudflare.com/­kv/­apiwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperApache Software FoundationCloudflareCommunity supported by Red Hat
Initial release201420182014
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJava
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes
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.nonono
Secondary indexesnonono
SQL infoSupport of SQLSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
HTTP REST
Proprietary protocol
HTTP REST
Supported programming languagesJava
Python
R
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresnonono
Triggersnonoyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnono

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More resources
Apache Spark (SQL)Cloudflare Workers KVHawkular Metrics
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