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DBMS > Altibase vs. Databricks vs. etcd vs. Hawkular Metrics vs. jBASE

System Properties Comparison Altibase vs. Databricks vs. etcd vs. Hawkular Metrics vs. jBASE

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonDatabricks  Xexclude from comparisonetcd  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonjBASE  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A 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 middleware
Primary database modelRelational DBMSDocument store
Relational DBMS
Key-value storeTime Series DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Websitealtibase.comwww.databricks.cometcd.io
github.com/­etcd-io/­etcd
www.hawkular.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.databricks.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperAltibaseDatabricksCommunity supported by Red HatRocket Software (formerly Zumasys)
Initial release1999201320141991
Current releasev7.3, 2023, August 20233.4, August 20195.7
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial
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 languageC++GoJava
Server operating systemsAIX
HP-UX
Linux
hostedFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Windows
AIX
Linux
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesoptional
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.noyesnonoyes
Secondary indexesyesyesnono
SQL infoSupport of SQLANSI SQL-92with Databricks SQLnonoEmbedded SQL for jBASE in BASIC
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
gRPC
JSON over HTTP
HTTP RESTJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
C++
Java
Python
R
Scala
.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
Server-side scripts infoStored proceduresstored procedures and stored functionsuser defined functions and aggregatesnonoyes
Triggersyesyes, watching key changesyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
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.yesnononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoAccess rights can be defined down to the item level
More information provided by the system vendor
AltibaseDatabricksetcdHawkular MetricsjBASE
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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AltibaseDatabricksetcdHawkular MetricsjBASE
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