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DBMS > Netezza vs. SingleStore vs. Speedb

System Properties Comparison Netezza vs. SingleStore vs. Speedb

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSpeedb  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score5.38
Rank#62  Overall
#35  Relational DBMS
Score0.26
Rank#310  Overall
#45  Key-value stores
Websitewww.ibm.com/­products/­netezzawww.singlestore.comwww.speedb.io
Technical documentationdocs.singlestore.com
DeveloperIBMSingleStore Inc.Speedb
Initial release200020132020
Current release8.5, January 2024
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoApache Version 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC++, GoC++
Server operating systemsLinux infoincluded in applianceLinux info64 bit version requiredLinux
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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
Secondary indexesyesyesno
SQL infoSupport of SQLyesyes infobut no triggers and foreign keysno
APIs and other access methodsJDBC
ODBC
OLE DB
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
Bash
C
C#
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyesyesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infohash partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infostores two copies of each physical data partition on two separate nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers with fine-grained authorization conceptFine grained access control via users, groups and rolesno
More information provided by the system vendor
Netezza infoAlso called PureData System for Analytics by IBMSingleStore infoformer name was MemSQLSpeedb
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Speedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Speedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more
Open source - Speedb OSS is released under an Apache license and can be found on...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Netezza infoAlso called PureData System for Analytics by IBMSingleStore infoformer name was MemSQLSpeedb
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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Recent citations in the news

IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, ibm.com

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

Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
27 May 2020, AWS Blog

Netezza Performance Server
12 August 2020, ibm.com

U.S. Navy Chooses Yellowbrick, Sunsets IBM Netezza
22 March 2023, Business Wire

provided by Google News

Building a Modern Database: Nikita Shamgunov on Postgres and Beyond
18 April 2024, Madrona Venture Group

SingleStore CEO sees little future for purpose-built vector databases
24 January 2024, VentureBeat

SingleStore Announces Real-time Data Platform to Further Accelerate AI, Analytics and Application Development
24 January 2024, businesswire.com

SingleStore adds indexed vector search to Pro Max release for faster AI work – Blocks and Files
29 January 2024, Blocks & Files

SingleStore, Snowflake Help Customers Build Enterprise-Ready Generative AI Apps
3 January 2024, Acceleration Economy

provided by Google News

Redis switches licenses, acquires Speedb to go beyond its core in-memory database
21 March 2024, TechCrunch

Redis acquires storage engine startup Speedb to enhance its open-source database
21 March 2024, SiliconANGLE News

Redis Acquires Speedb, Expanding Its Data Platform Capabilities Beyond DRAM
22 March 2024, Datanami

Redis expands data management capabilities with Speedb acquisition – Blocks and Files
22 March 2024, Blocks and Files

Redis Acquires Speedb to Supercharge End-to-End Application Performance at Lower Cost
21 March 2024, GlobeNewswire

provided by Google News



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