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DBMS > EsgynDB vs. Netezza vs. Newts vs. TiDB

System Properties Comparison EsgynDB vs. Netezza vs. Newts vs. TiDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNewts  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionData warehouse and analytics appliance part of IBM PureSystemsTime Series DBMS based on CassandraTiDB is an open source distributed Hybrid Transactional/Analytical Processing (HTAP) database that supports MySQL and Spark SQL syntaxes.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#288  Overall
#134  Relational DBMS
Score19.38
Rank#37  Overall
#23  Relational DBMS
Score0.00
Rank#354  Overall
#33  Time Series DBMS
Score3.54
Rank#93  Overall
#49  Relational DBMS
Websitewww.esgyn.cnwww.ibm.com/­products/­netezzaopennms.github.io/­newtspingcap.com
Technical documentationgithub.com/­OpenNMS/­newts/­wikidocs.pingcap.com/­tidb/­stable
DeveloperEsgynIBMOpenNMS GroupPingCAP, Inc.
Initial release2015200020142016
Current release5.0.1, April 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
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.
TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageC++, JavaJavaGo, Rust
Server operating systemsLinuxLinux infoincluded in applianceLinux
OS X
Windows
Linux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLyesyesnoyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
HTTP REST
Java API
JDBC
ODBC
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
C++
Fortran
Java
Lua
Perl
Python
R
JavaAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresJava Stored Proceduresyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on Cassandrahorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationselectable replication factor infobased on CassandraUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnonono infocurrently only supported in syntax
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptnoUsers with fine-grained authorization concept. No user groups or roles.
More information provided by the system vendor
EsgynDBNetezza infoAlso called PureData System for Analytics by IBMNewtsTiDB
Specific characteristicsTiDB is an open-source NewSQL database built by PingCAP. TiDB supports Hybrid Transactional...
» more
Competitive advantagesIn the current database landscape, infrastructure engineers often have to use one...
» more
Typical application scenariosTiDB is designed to support both OLTP and OLAP scenarios. You can use TiDB , the...
» more
Key customersShopee (E-commerce) BookMyShow.com (E-commerce) Yiguo.com (E-commerce) JD Cloud &...
» more
Market metrics25K+ GitHub Stars for TiDB, and 8K+ GitHub Stars for TiKV 1.6K+ members in TiDB Community...
» more
Licensing and pricing modelsOpen Source Apache 2.0 with either commercial licensing or fully-hosted DB-as-a-service...
» more
News

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14 December 2021

Implementing Chaos Engineering in K8s: Chaos Mesh Principle Analysis and Control Plane Development
9 December 2021

TiDB 5.3: Delivering Enhancements for Data Intensive Applications
7 December 2021

Believe in the Multiplicative Power of Openness
30 November 2021

How to Connect TiDB Cloud to Metabase
24 November 2021

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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
EsgynDBNetezza infoAlso called PureData System for Analytics by IBMNewtsTiDB
Recent citations in the news

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

IBM launches new Netezza appliance, eyes big data
21 June 2011, ZDNet

IBM to Acquire Netezza for $1.78 Billion
20 September 2010, The Wall Street Journal

Next Pathway update targets Hadoop migrations
24 February 2021, TechTarget

Data Warehouse: Which solution is best?
1 December 2021, IDG Connect

provided by Google News

PingCap brings TiDB distributed SQL HTAP database to cloud
11 May 2022, TechTarget

The Next Revolution From On-Premises Databases to DBaaS
18 May 2022, Container Journal

Raft Engine: a Log-Structured Embedded Storage Engine for Multi-Raft Logs in TiKV
12 May 2022, InfoQ.com

PingCAP Enhances Support for Data Intensive Applications with TiDB 5.3
7 December 2021, PR Newswire

PingCap TiDB 5.3 Supports Both High Volume Transaction Processing and Real-Time Analytics
4 January 2022, Database Trends and Applications

provided by Google News

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