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DBMS > GeoSpock vs. Netezza vs. Sadas Engine vs. SQream DB vs. XTDB

System Properties Comparison GeoSpock vs. Netezza vs. Sadas Engine vs. SQream DB vs. XTDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSadas Engine  Xexclude from comparisonSQream DB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleData warehouse and analytics appliance part of IBM PureSystemsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsa GPU-based, columnar RDBMS for big data analytics workloadsA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitegeospock.comwww.ibm.com/­products/­netezzawww.sadasengine.comsqream.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.sqream.comwww.xtdb.com/­docs
DeveloperGeoSpockIBMSADAS s.r.l.SQream TechnologiesJuxt Ltd.
Initial release2000200620172019
Current release2.0, September 20198.02022.1.6, December 20221.19, September 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree trial version availablecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++C++, CUDA, Haskell, Java, ScalaClojure
Server operating systemshostedLinux infoincluded in applianceAIX
Linux
Windows
LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Typesyes, extensible-data-notation format
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.nonono
Secondary indexestemporal, categoricalyesyesnoyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesyesyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBCJDBC
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
.Net
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
Clojure
Java
Server-side scripts infoStored proceduresnoyesnouser defined functions in Pythonno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioninghorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users can be defined per tableUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standard

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More resources
GeoSpockNetezza infoAlso called PureData System for Analytics by IBMSadas EngineSQream DBXTDB infoformerly named Crux
Recent citations in the news

GeoSpock launches Spatial Big Data Platform 2.0
4 September 2019, VanillaPlus

nChain leads investment round in extreme-scale data firm GeoSpock
2 October 2020, CoinGeek

GeoSpock’s extreme-scale data mission in $5.4m funding boost
8 October 2020, Cambridge Independent

Big data processing techniques to streamline analytics
5 October 2018, TechTarget

GeoSpock showcases rapid expansion with data insights
16 July 2018, Cambridge Independent

provided by Google News

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

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

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

provided by Google News

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

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

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

Chinese giant Alibaba leads investment round in Israel big-data startup
30 May 2018, The Times of Israel

Accelerated Databases In The Fast Lane
25 June 2020, The Next Platform

provided by Google News



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