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DBMS > jBASE vs. PostGIS vs. TempoIQ vs. Vertica

System Properties Comparison jBASE vs. PostGIS vs. TempoIQ vs. Vertica

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Editorial information provided by DB-Engines
NamejBASE  Xexclude from comparisonPostGIS  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionA robust multi-value DBMS comprising development tools and middlewareSpatial extension of PostgreSQLScalable analytics DBMS for sensor data, provided as a service (SaaS)Cloud or on-premises 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 modelMultivalue DBMSSpatial DBMSTime Series DBMSRelational DBMS infoColumn oriented
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.70
Rank#137  Overall
#3  Multivalue DBMS
Score30.81
Rank#28  Overall
#1  Spatial DBMS
Score20.03
Rank#37  Overall
#23  Relational DBMS
Websitewww.jbase.compostgis.nettempoiq.com (offline)www.vertica.com
Technical documentationdocs.zumasys.com/­jbasepostgis.net/­documentationvertica.com/­documentation
DeveloperZumasysTempoIQMicro Focus infoprior to that Hewlett Packard
Initial release1991200520122005
Current release5.73.2.1, February 202211.1, February 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0commercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonoyesno infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Vertica Accelerator’s high-performance analytics and machine learning with SQL or Python is available as a managed service.
Implementation languageCC++
Server operating systemsAIX
Linux
Windows
Linux
Data schemeschema-freeyesschema-freeyes, but unstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateoptionalyesyesyes: BINARY, BOOLEAN, CHAR, VARCHAR, LONG VARCHAR, DATE, TIME, TIMESTAMP, INTERVAL, INTERVAL DAY TO SECOND, INTERVAL YEAR TO MONTH, DOUBLE PRECISION, FLOAT, INTEGER, BIGINT, SMALLINT,NUMERIC, DECIMAL, NUMBER, MONEY,GEOMETRY
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.yesyesnono
Secondary indexesyesNo Indexes Required
SQL infoSupport of SQLEmbedded SQL for jBASE in BASICyesnoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
HTTP APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languages.Net
Basic
Jabbascript
Java
C#
Java
JavaScript infoNode.js
Python
Ruby
C#
C++
Java
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyesuser defined functionsnoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesyesyes infoRealtime Alertsyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLhorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on PostgreSQLMulti-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 methodsnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlAccess rights can be defined down to the item levelyes infobased on PostgreSQLsimple authentication-based access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
jBASEPostGISTempoIQ infoformerly TempoDBVertica infoVertica Analytics Platform
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy on-premises,...
» more
Competitive advantagesFast, scalable and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more

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More resources
jBASEPostGISTempoIQ infoformerly TempoDBVertica infoVertica Analytics Platform
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