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DBMS > HEAVY.AI vs. Netezza vs. RocksDB vs. Tibero

System Properties Comparison HEAVY.AI vs. Netezza vs. RocksDB vs. Tibero

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRocksDB  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareData warehouse and analytics appliance part of IBM PureSystemsEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Score1.46
Rank#151  Overall
#70  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.ibm.com/­products/­netezzarocksdb.orgus.tmaxsoft.com/­products/­tibero
Technical documentationdocs.heavy.aigithub.com/­facebook/­rocksdb/­wikitechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperHEAVY.AI, Inc.IBMFacebook, Inc.TmaxSoft
Initial release2016200020132003
Current release5.10, January 20229.4.0, June 20247, September 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC++C and Assembler
Server operating systemsLinuxLinux infoincluded in applianceLinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesschema-freeyes
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.nonoyes
Secondary indexesnoyesnoyes
SQL infoSupport of SQLyesyesnoyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JDBC
ODBC
OLE DB
C++ API
Java API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Go
Java
Perl
Python
Ruby
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyesnoPersistent Stored Procedure (PSM)
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardinghorizontal partitioninghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesACID
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.yesyesno infoplanned for next version
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptnofine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Netezza infoAlso called PureData System for Analytics by IBMRocksDBTibero
Recent citations in the news

Dr. Mike Flaxman, VP or Product Management at HEAVY.AI – Interview Series
19 September 2024, Unite.AI

5 Q’s for Mike Flaxman, Vice President of Heavy.AI
15 August 2024, Center for Data Innovation

HEAVY.AI Accelerates Big Data Analytics with Vultr's High-Performance GPU Cloud Infrastructure
11 September 2024, insideBIGDATA

HEAVY.AI Accelerates Big Data Analytics with Vultr’s High-Performance GPU Cloud Infrastructure
11 September 2024, insideBIGDATA

Meta delivers strong earnings, but weak guidance and heavy AI spending prompt investors to bail
24 April 2024, SiliconANGLE News

provided by Google News

Unify and share data across Netezza and watsonx.data for new generative AI applications
21 June 2024, IBM

How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime
21 August 2019, AWS Blog

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Copy data from Netezza to Azure with Azure Data Factory
9 September 2019, Microsoft

IBM Completes Acquisition of Netezza
11 November 2010, PR Newswire

provided by Google News

Pliops Unveils Accelerated Key-Value Store That Boosts RocksDB Performance by 20x at OCP Global Summit
18 October 2022, GlobeNewswire

AMD EPYC vs. Intel Xeon Cascadelake With Facebook's RocksDB Database
17 October 2019, Phoronix

Meta’s Velox Means Database Performance Is Not Subject To Interpretation
31 August 2022, The Next Platform

The Journey to a Million Ops / Sec / Node in Venice
16 March 2024, InfoQ.com

Facebook’s MyRocks Truly Rocks!
21 September 2020, Open Source For You

provided by Google News

[Herald Interview] TmaxTibero eyes global expansion with certified DBMS tech
11 August 2024, The Korea Herald

TmaxData to supply database management software to Hyundai, Kia
12 June 2019, 코리아타임스

How to Succeed at Large-Scale Mainframe Replatforming with TmaxSoft OpenFrame on AWS
2 August 2022, AWS Blog

Hyundai and Kia Say Good-bye to Oracle and Choose Tmax as DBMS Vendor
13 June 2019, BusinessKorea

AIS Partners TmaxSoft to Offer Database-as-a-Service on PaaS Cloud for Enterprise Customers
7 December 2017, The Fast Mode

provided by Google News



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