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DBMS > Databricks vs. Ingres vs. IRONdb vs. STSdb vs. Vertica

System Properties Comparison Databricks vs. Ingres vs. IRONdb vs. STSdb vs. Vertica

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonIngres  Xexclude from comparisonIRONdb  Xexclude from comparisonSTSdb  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionThe 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.Well established RDBMSA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodCloud 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 modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSKey-value storeRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score55.62
Rank#20  Overall
#3  Document stores
#13  Relational DBMS
Score6.11
Rank#70  Overall
#37  Relational DBMS
Score0.00
Rank#363  Overall
#34  Time Series DBMS
Score0.02
Rank#347  Overall
#53  Key-value stores
Score20.03
Rank#37  Overall
#23  Relational DBMS
Websitedatabricks.comwww.actian.com/­data-management/­ingres-sql-rdbmswww.circonus.com/­solutions/­time-series-databasegithub.com/­STSSoft/­STSdb4www.vertica.com
Technical documentationdatabricks.com/­documentationdocs.actian.com/­ingresdocs.circonus.com/­irondbvertica.com/­documentation
DeveloperDatabricksActian CorporationCirconus LLC.STS Soft SCMicro Focus infoprior to that Hewlett Packard
Initial release20131974 infooriginally developed at University Berkely in early 1970s201720112005
Current release11.0, April 2017V0.10.20, January 20184.0.8, September 201511.1, February 2022
License infoCommercial or Open SourceOpen SourcecommercialcommercialOpen Source infoGPLv2, commercial license availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnononono 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 and C++C#C++
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxWindowsLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyesyes, but unstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyes infoprimitive types and user defined types (classes)yes: 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.yesno infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesyesnonoNo Indexes Required
SQL infoSupport of SQLwith Databricks SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)noFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP API.NET Client APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesPython
R
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
Java
C#
C++
Java
Perl
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyes, in Luanoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesnonoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslyAutomatic, metric affinity per nodenonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesIngres Replicatorconfigurable replication factor, datacenter awarenoneMulti-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 ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
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.nononono
User concepts infoAccess controlfine grained access rights according to SQL-standardnonofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
DatabricksIngresIRONdbSTSdbVertica 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...
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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
DatabricksIngresIRONdbSTSdbVertica infoVertica Analytics Platform
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