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DBMS > EsgynDB vs. Hypertable vs. Immudb vs. Netezza vs. QuestDB

System Properties Comparison EsgynDB vs. Hypertable vs. Immudb vs. Netezza vs. QuestDB

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHypertable  Xexclude from comparisonImmudb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonQuestDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn open source BigTable implementation based on distributed file systems such as HadoopAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Data warehouse and analytics appliance part of IBM PureSystemsA high performance open source SQL database for time series data
Primary database modelRelational DBMSWide column storeKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitewww.esgyn.cngithub.com/­codenotary/­immudb
immudb.io
www.ibm.com/­products/­netezzaquestdb.io
Technical documentationdocs.immudb.ioquestdb.io/­docs
DeveloperEsgynHypertable Inc.CodenotaryIBMQuestDB Technology Inc
Initial release20152009202020002014
Current release0.9.8.11, March 20161.2.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC++GoJava (Zero-GC), C++, Rust
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
BSD
Linux
macOS
Solaris
Windows
z/OS
Linux infoincluded in applianceLinux
macOS
Windows
Data schemeyesschema-freeschema-freeyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesrestricted infoonly exact value or prefix value scansyesyesno
SQL infoSupport of SQLyesnoSQL-like syntaxyesSQL with time-series extensions
APIs and other access methodsADO.NET
JDBC
ODBC
C++ API
Thrift
gRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
OLE DB
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC++
Java
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresJava Stored Proceduresnonoyesno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersselectable replication factor on file system levelSource-replica replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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-standardnoUsers with fine-grained authorization concept
More information provided by the system vendor
EsgynDBHypertableImmudbNetezza infoAlso called PureData System for Analytics by IBMQuestDB
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
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EsgynDBHypertableImmudbNetezza infoAlso called PureData System for Analytics by IBMQuestDB
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