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DBMS > Altibase vs. etcd vs. Hawkular Metrics vs. jBASE vs. Spark SQL

System Properties Comparison Altibase vs. etcd vs. Hawkular Metrics vs. jBASE vs. Spark SQL

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonetcd  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonjBASE  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSA distributed reliable key-value storeHawkular 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 middlewareSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSKey-value storeTime Series DBMSMultivalue DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitealtibase.cometcd.io
github.com/­etcd-io/­etcd
www.hawkular.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasespark.apache.org/­sql
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9spark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAltibaseCommunity supported by Red HatRocket Software (formerly Zumasys)Apache Software Foundation
Initial release1999201419912014
Current releasev7.3, 2023, August 20233.4, August 20195.73.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoJavaScala
Server operating systemsAIX
HP-UX
Linux
FreeBSD
Linux
Windows infoexperimental
Linux
OS X
Windows
AIX
Linux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesoptionalyes
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.nononoyesno
Secondary indexesyesnonono
SQL infoSupport of SQLANSI SQL-92nonoEmbedded SQL for jBASE in BASICSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Proprietary protocol
gRPC
JSON over HTTP
HTTP RESTJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
Supported programming languagesC
C++
Java
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
Python
Ruby
.Net
Basic
Jabbascript
Java
Java
Python
R
Scala
Server-side scripts infoStored proceduresstored procedures and stored functionsnonoyesno
Triggersyesyes, watching key changesyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factor infobased on Cassandrayesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
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.yesnonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoAccess rights can be defined down to the item levelno

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More resources
AltibaseetcdHawkular MetricsjBASESpark SQL
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