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DBMS > Hawkular Metrics vs. jBASE vs. Microsoft Azure Cosmos DB vs. Spark SQL vs. TerarkDB

System Properties Comparison Hawkular Metrics vs. jBASE vs. Microsoft Azure Cosmos DB vs. Spark SQL vs. TerarkDB

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonjBASE  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A robust multi-value DBMS comprising development tools and middlewareGlobally distributed, horizontally scalable, multi-model database serviceSpark SQL is a component on top of 'Spark Core' for structured data processingA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelTime Series DBMSMultivalue DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitewww.hawkular.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseazure.microsoft.com/­services/­cosmos-dbspark.apache.org/­sqlgithub.com/­bytedance/­terarkdb
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9learn.microsoft.com/­azure/­cosmos-dbspark.apache.org/­docs/­latest/­sql-programming-guide.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperCommunity supported by Red HatRocket Software (formerly Zumasys)MicrosoftApache Software FoundationByteDance, originally Terark
Initial release20141991201420142016
Current release5.73.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache 2.0commercial inforestricted open source version available
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 languageJavaScalaC++
Server operating systemsLinux
OS X
Windows
AIX
Linux
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyes infoJSON typesyesno
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.noyesnono
Secondary indexesnoyes infoAll properties auto-indexed by defaultnono
SQL infoSupport of SQLnoEmbedded SQL for jBASE in BASICSQL-like query languageSQL-like DML and DDL statementsno
APIs and other access methodsHTTP RESTJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
JDBC
ODBC
C++ API
Java API
Supported programming languagesGo
Java
Python
Ruby
.Net
Basic
Jabbascript
Java
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Java
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresnoyesJavaScriptnono
Triggersyes infovia Hawkular AlertingyesJavaScriptnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding infoImplicit feature of the cloud serviceyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayesyes infoImplicit feature of the cloud servicenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDMulti-item ACID transactions with snapshot isolation within a partitionnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlnoAccess rights can be defined down to the item levelAccess rights can be defined down to the item levelnono

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Hawkular MetricsjBASEMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSpark SQLTerarkDB
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