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DBMS > Netezza vs. ObjectBox vs. RavenDB vs. SQream DB

System Properties Comparison Netezza vs. ObjectBox vs. RavenDB vs. SQream DB

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonObjectBox  Xexclude from comparisonRavenDB  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsExtremely fast embedded database for small devices, IoT and MobileOpen Source Operational and Transactional Enterprise NoSQL Document Databasea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSObject oriented DBMSDocument storeRelational DBMS
Secondary database modelsTime Series DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.ibm.com/­products/­netezzaobjectbox.ioravendb.netsqream.com
Technical documentationdocs.objectbox.ioravendb.net/­docsdocs.sqream.com
DeveloperIBMObjectBox LimitedHibernating RhinosSQream Technologies
Initial release2000201720102017
Current release5.4, July 20222022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoAGPL version 3, commercial license availablecommercial
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 C++C#C++, CUDA, Haskell, Java, Scala
Server operating systemsLinux infoincluded in applianceAndroid
iOS
Linux
macOS
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes, ANSI Standard SQL Types
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
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesnoSQL-like query language (RQL)yes
APIs and other access methodsJDBC
ODBC
OLE DB
Proprietary native API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
.Net
JDBC
ODBC
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnoyesuser defined functions in Python
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationonline/offline synchronization between client and serverMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction availableACID
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.no
User concepts infoAccess controlUsers with fine-grained authorization conceptyesAuthorization levels configured per client per database
More information provided by the system vendor
Netezza infoAlso called PureData System for Analytics by IBMObjectBoxRavenDBSQream DB
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More resources
Netezza infoAlso called PureData System for Analytics by IBMObjectBoxRavenDBSQream DB
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

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

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

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21 June 2019, 1E9

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27 August 2021, hackernoon.com

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Oren Eini on RavenDB, Including Consistency Guarantees and C# as the Implementation Language
23 May 2022, InfoQ.com

Install the NoSQL RavenDB Data System
14 May 2021, The New Stack

RavenDB Adds Graph Queries
15 May 2019, Datanami

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I SQream, you SQream, we all SQream for … data analytics?
5 October 2023, Fierce Network

SQream Announces Strategic Integration for Powerful Big Data Analytics with Dataiku
9 February 2024, insideBIGDATA

GPU data warehouse startup SQream lands $39.4M funding round
24 June 2020, SiliconANGLE News

SQream Technologies raises $39.4 million for GPU-accelerated databases
24 June 2020, VentureBeat

SQream Announces Free Licenses to Organizations Using Data Analytics to Fight the Coronavirus
9 April 2020, Embedded Computing Design

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