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DBMS > EsgynDB vs. Google BigQuery vs. Immudb vs. Netezza vs. Oracle Rdb

System Properties Comparison EsgynDB vs. Google BigQuery vs. Immudb vs. Netezza vs. Oracle Rdb

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonImmudb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionLarge scale data warehouse service with append-only tablesAn 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 PureSystems
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Websitewww.esgyn.cncloud.google.com/­bigquerygithub.com/­codenotary/­immudb
immudb.io
www.ibm.com/­products/­netezzawww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationcloud.google.com/­bigquery/­docsdocs.immudb.iowww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperEsgynGoogleCodenotaryIBMOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20152010202020001984
Current release1.2.3, April 20227.4.1.1, 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaGo
Server operating systemsLinuxhostedBSD
Linux
macOS
Solaris
Windows
z/OS
Linux infoincluded in applianceHP Open VMS
Data schemeyesyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
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.nononono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesyesSQL-like syntaxyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP/JSON APIgRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functions infoin JavaScriptnoyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDACIDyes, on a single node
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.nononono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Users with fine-grained authorization concept

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More resources
EsgynDBGoogle BigQueryImmudbNetezza infoAlso called PureData System for Analytics by IBMOracle Rdb
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