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

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

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonDatabricks  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonjBASE  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
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.Hawkular 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 middlewareAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSDocument store
Relational DBMS
Time Series DBMSMultivalue DBMSDocument store
Graph DBMS
Key-value store
Wide column store
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
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Websitealtibase.comwww.databricks.comwww.hawkular.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasesqrrl.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.databricks.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperAltibaseDatabricksCommunity supported by Red HatRocket Software (formerly Zumasys)Amazon infooriginally Sqrrl Data, Inc.
Initial release19992013201419912012
Current releasev7.3, 2023, August 20235.7
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialOpen Source infoApache 2.0commercialcommercial
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++JavaJava
Server operating systemsAIX
HP-UX
Linux
hostedLinux
OS X
Windows
AIX
Linux
Windows
Linux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesoptionalyes
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.noyesnoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLANSI SQL-92with Databricks SQLnoEmbedded SQL for jBASE in BASICno
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
HTTP RESTJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C++
Java
Python
R
Scala
Go
Java
Python
Ruby
.Net
Basic
Jabbascript
Java
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresstored procedures and stored functionsuser defined functions and aggregatesnoyesno
Triggersyesyes infovia Hawkular Alertingyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor infobased on Cassandrayesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDAtomic updates per row, document, or graph entity
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.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights can be defined down to the item levelCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
AltibaseDatabricksHawkular MetricsjBASESqrrl
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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