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DBMS > Amazon DocumentDB vs. EsgynDB vs. Immudb vs. LeanXcale vs. Netezza

System Properties Comparison Amazon DocumentDB vs. EsgynDB vs. Immudb vs. LeanXcale vs. Netezza

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonImmudb  Xexclude from comparisonLeanXcale  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesData warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument storeRelational DBMSKey-value storeKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.esgyn.cngithub.com/­codenotary/­immudb
immudb.io
www.leanxcale.comwww.ibm.com/­products/­netezza
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.immudb.io
DeveloperEsgynCodenotaryLeanXcaleIBM
Initial release20192015202020152000
Current release1.2.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercialcommercial
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 languageC++, JavaGo
Server operating systemshostedLinuxBSD
Linux
macOS
Solaris
Windows
z/OS
Linux infoincluded in appliance
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnoyesSQL-like syntaxyes infothrough Apache Derbyyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
gRPC protocol
PostgreSQL wire protocol
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
OLE DB
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
Python
C
Java
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnoJava Stored Proceduresnoyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication between multi datacentersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACIDACID
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
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Amazon DocumentDBEsgynDBImmudbLeanXcaleNetezza infoAlso called PureData System for Analytics by IBM
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