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DBMS > Altibase vs. Hawkular Metrics vs. PouchDB vs. Vertica

System Properties Comparison Altibase vs. Hawkular Metrics vs. PouchDB vs. Vertica

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPouchDB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.JavaScript DBMS with an API inspired by CouchDBCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRelational DBMSTime Series DBMSDocument storeRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.87
Rank#200  Overall
#93  Relational DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Score9.62
Rank#42  Overall
#26  Relational DBMS
Websitealtibase.comwww.hawkular.orgpouchdb.comwww.vertica.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualswww.hawkular.org/­hawkular-metrics/­docs/­user-guidepouchdb.com/­guidesvertica.com/­documentation
DeveloperAltibaseCommunity supported by Red HatApache Software FoundationOpenText infopreviously Micro Focus and Hewlett Packard
Initial release1999201420122005
Current releasev7.3, 2023, August 20237.1.1, June 201912.0.3, January 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache 2.0Open Sourcecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaScriptC++
Server operating systemsAIX
HP-UX
Linux
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeyesschema-freeschema-freeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono
Secondary indexesyesnoyes infovia viewsNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLANSI SQL-92nonoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBC
ODBC
Proprietary protocol
HTTP RESTHTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC
C++
Java
Go
Java
Python
Ruby
JavaScriptC#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresstored procedures and stored functionsnoView functions in JavaScriptyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesyes infovia Hawkular Alertingyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infowith a proxy-based framework, named couchdb-loungehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandraMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnonofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash

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More resources
AltibaseHawkular MetricsPouchDBVertica infoOpenText™ Vertica™
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