DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > HEAVY.AI vs. Ingres vs. Vertica

System Properties Comparison HEAVY.AI vs. Ingres vs. Vertica

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIngres  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareWell established RDBMSCloud 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 DBMSRelational DBMSRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.30
Rank#149  Overall
#72  Relational DBMS
Score5.88
Rank#70  Overall
#39  Relational DBMS
Score19.23
Rank#37  Overall
#23  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.actian.com/­data-management/­ingres-sql-rdbmswww.vertica.com
Technical documentationdocs.heavy.aidocs.actian.com/­ingresvertica.com/­documentation
DeveloperHEAVY.AI, Inc.Actian CorporationMicro Focus infoprior to that Hewlett Packard
Initial release20161974 infooriginally developed at University Berkely in early 1970s2005
Current release5.10, January 202211.0, April 201711.1, February 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono 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 languageC++ and CUDACC++
Server operating systemsLinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesyesyes, but unstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyesyes: 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.nono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesnoyesNo Indexes Required
SQL infoSupport of SQLyesyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBC
ODBC
Thrift
Vega
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C#
C++
Java
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoyesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinhorizontal partitioning infoIngres Star to access multiple databases simultaneouslyhorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationIngres ReplicatorMulti-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 methodsnonono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IngresVertica infoVertica Analytics Platform
Specific characteristicsOptimizes memory and compute layers to deliver unprecedented performance. Natively...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy on-premises,...
» more
Competitive advantagesOnly HEAVY.AI allows users to visually and interactively discover high-value patterns,...
» more
Fast, scalable and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosAdvanced analytics, geospatial and time-series analytics, accelerated data science,...
» more
Communication 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 modelsHEAVY.AI Free (Free Forever), Foundations ($2k/month), and Enterprise Licensure (Inquire...
» more
Cost-based models and subscription-based models are both available. One license is...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IngresVertica infoVertica Analytics Platform
Recent citations in the news

Voltron to support open-source data analytics project Ibis
23 June 2022, VentureBeat

HEAVY.AI Introduces New Capabilities that Enable Organizations to Gain Faster Access to Rapidly Growing Data Sets and Deliver Decision-Quality Information
23 March 2022, insideBIGDATA

OmniSci Gets HEAVY New Name and New CEO
1 March 2022, Datanami

The insideBIGDATA IMPACT 50 List for Q2 2022
27 April 2022, insideBIGDATA

Nvidia unveils a new GPU architecture designed for AI data centers
22 March 2022, Network World

provided by Google News

Database from the 1980s needs time travel says author
14 June 2022, The Register

Actian Launches Ingres as a Fully-Managed Cloud Service
24 September 2021, Integration Developers

Actian’s plan for the AI era
27 May 2022, Protocol

Two Sizes Fit Most: PostgreSQL and ClickHouse – The New Stack
13 April 2022, thenewstack.io

DataStax Astra DB gets Change Data Capture
25 April 2022, iProgrammer

provided by Google News

Vertica Announces Vertica 12 for Future-Proof Analytics
7 June 2022, PR Newswire

Cloudian Partners with Vertica to Deliver On-Premises Data Warehouse Platform on S3 Data Lake
28 June 2022, The Bakersfield Californian

Vertica announces version 12, aims to go beyond AWS S3
14 June 2022, Analytics India Magazine

Databricks open sources its Delta Lake data lakehouse
28 June 2022, InfoWorld

Storage news ticker – June 29 – Blocks and Files
29 June 2022, Blocks and Files

provided by Google News

Job opportunities

Senior DevOps Engineer
NVIDIA, Santa Clara, CA

Staff Manager, Business Development & Partnerships
Qcom, San Diego, CA

Senior Database Administrator (mySQL, Ingres)
Explore Jobs Search, Boston, MA

Database Administrator III
Fred Hutchinson Cancer Research Center, Seattle, WA

Systems Engineer (Junior)
Cognosante, LLC, Virginia

Intelligence Analyst
CACI, Dahlgren, VA

Sr Software Engineer
ACI Worldwide, Omaha, NE

QA Engineer - Database Server at Vertica (REMOTE, Work From Home Available within the U.S.)
Micro Focus, Cambridge, MA

Senior Database Engineer
Chewy, Minneapolis, MN

Database Architect
Chewy, Minneapolis, MN

Senior Database Engineer
Chewy, Boston, MA

Database Administrator
Castalia Systems, LLC, Oakton, VA

jobs by Indeed



Share this page

Featured Products

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Redis logo

The world’s most loved real‑time data platform.
Try free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

The definitive guide for Cassandra

Imagine What You Could Do if Scalability Wasn‘t a Problem!
Download the Cassandra e-book for free!

Present your product here