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DBMS > EsgynDB vs. Netezza vs. OpenTSDB vs. QuestDB

System Properties Comparison EsgynDB vs. Netezza vs. OpenTSDB vs. QuestDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOpenTSDB  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionData warehouse and analytics appliance part of IBM PureSystemsScalable Time Series DBMS based on HBaseA high performance open source SQL database for time series data
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websitewww.esgyn.cnwww.ibm.com/­products/­netezzaopentsdb.netquestdb.io
Technical documentationopentsdb.net/­docs/­build/­html/­index.htmlquestdb.io/­docs
DeveloperEsgynIBMcurrently maintained by Yahoo and other contributorsQuestDB Technology Inc
Initial release2015200020112014
License infoCommercial or Open SourcecommercialcommercialOpen Source infoLGPLOpen 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.
Implementation languageC++, JavaJavaJava (Zero-GC), C++, Rust
Server operating systemsLinuxLinux infoincluded in applianceLinux
Windows
Linux
macOS
Windows
Data schemeyesyesschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesnumeric data for metrics, strings for tagsyes
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 indexesyesyesnono
SQL infoSupport of SQLyesyesnoSQL with time-series extensions
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
HTTP API
Telnet API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
C++
Fortran
Java
Lua
Perl
Python
R
Erlang
Go
Java
Python
R
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresJava Stored Proceduresyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBasehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationselectable replication factor infobased on HBaseSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID for single-table writes
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.nonoyes infothrough memory mapped files
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptno
More information provided by the system vendor
EsgynDBNetezza infoAlso called PureData System for Analytics by IBMOpenTSDBQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
News

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23 May 2024

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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 IBMOpenTSDBQuestDB
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

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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

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22 March 2023, Business Wire

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Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

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28 June 2016, SiliconANGLE News

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2 April 2015, O'Reilly Radar

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QuestDB snares $12M Series A with hosted version coming soon
3 November 2021, TechCrunch

SQL Extensions for Time-Series Data in QuestDB
11 January 2021, Towards Data Science

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

QuestDB Raises $12M in Series A Funding
8 November 2021, FinSMEs

Aquis Exchange goes live with QuestDB for real time monitoring
2 November 2022, FinanceFeeds

provided by Google News



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