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DBMS > EsgynDB vs. FeatureBase vs. Immudb vs. Netezza vs. Pinecone

System Properties Comparison EsgynDB vs. FeatureBase vs. Immudb vs. Netezza vs. Pinecone

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonImmudb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.An 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 managed, cloud-native vector database
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSVector 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
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitewww.esgyn.cnwww.featurebase.comgithub.com/­codenotary/­immudb
immudb.io
www.ibm.com/­products/­netezzawww.pinecone.io
Technical documentationdocs.featurebase.comdocs.immudb.iodocs.pinecone.io/­docs/­overview
DeveloperEsgynMolecula and Pilosa Open Source ContributorsCodenotaryIBMPinecone Systems, Inc
Initial release20152017202020002019
Current release2022, May 20221.2.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaGoGo
Server operating systemsLinuxLinux
macOS
BSD
Linux
macOS
Solaris
Windows
z/OS
Linux infoincluded in appliancehosted
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesString, Number, Boolean
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 indexesyesnoyesyes
SQL infoSupport of SQLyesSQL queriesSQL-like syntaxyesno
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
JDBC
Kafka Connector
ODBC
gRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetJava
Python
.Net
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Python
Server-side scripts infoStored proceduresJava Stored Proceduresnoyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
EsgynDBFeatureBaseImmudbNetezza infoAlso called PureData System for Analytics by IBMPinecone
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