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

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

Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonIRONdb  Xexclude from comparisonMilvus  Xexclude from comparisonSTSdb  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionWell established RDBMSA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA DBMS designed for efficient storage of vector data and vector similarity searchesKey-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 modelRelational DBMSTime Series DBMSSearch engineKey-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
Score5.75
Rank#74  Overall
#39  Relational DBMS
Score0.12
Rank#349  Overall
#34  Time Series DBMS
Score0.55
Rank#253  Overall
#17  Search engines
Score0.15
Rank#333  Overall
#47  Key-value stores
Score19.85
Rank#38  Overall
#23  Relational DBMS
Websitewww.actian.com/­data-management/­ingres-sql-rdbmswww.circonus.com/­solutions/­time-series-databasemilvus.iogithub.com/­STSSoft/­STSdb4www.vertica.com
Technical documentationdocs.actian.com/­ingresdocs.circonus.com/­irondbmilvus.io/­docs/­overview.mdvertica.com/­documentation
DeveloperActian CorporationCirconus LLC.STS Soft SCMicro Focus infoprior to that Hewlett Packard
Initial release1974 infooriginally developed at University Berkely in early 1970s2017201920112005
Current release11.0, April 2017V0.10.20, January 20182.0, January 20224.0.8, September 201511.1, February 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoGPLv2, commercial license availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono 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++, GoC#C++
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
WindowsLinux
Data schemeyesschema-freeyesyes, but unstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsNumeric and Stringyes 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.no infobut tools for importing/exporting data from/to XML-files availablenonono
Secondary indexesyesnononoNo Indexes Required
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)nonoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP APIRESTful HTTP API.NET Client APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Go
Java
JavaScript (Node.js)
Python
C#
Java
C#
C++
Java
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyesyes, in Luanonoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesnononoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslyAutomatic, metric affinity per nodeShardingnonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesIngres 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 methodsnonononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyesyes
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-standardnononofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
IngresIRONdbMilvusSTSdbVertica infoVertica Analytics Platform
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy on-premises,...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Fast, scalable and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosVideo media : video understanding, video deduplication. E-commerce and mobile applications...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersMilvus is trusted by over 1,000 enterprises, including Baidu, eBay, IKEA, LINE, Shopee,...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsAs of March 2022, 9.8k+ GitHub stars 1.4k+ Github forks 871k+ docker pulls 2k+ community...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Managed...
» more
Cost-based models and subscription-based models are both available. One license is...
» more

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More resources
IngresIRONdbMilvusSTSdbVertica infoVertica Analytics Platform
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