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DBMS > EsgynDB vs. etcd vs. FeatureBase vs. NSDb

System Properties Comparison EsgynDB vs. etcd vs. FeatureBase vs. NSDb

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonetcd  Xexclude from comparisonFeatureBase  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA distributed reliable key-value storeReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSKey-value storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitewww.esgyn.cnetcd.io
github.com/­etcd-io/­etcd
www.featurebase.comnsdb.io
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.featurebase.comnsdb.io/­Architecture
DeveloperEsgynMolecula and Pilosa Open Source Contributors
Initial release201520172017
Current release3.4, August 20192022, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 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++, JavaGoGoJava, Scala
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
Linux
macOS
Linux
macOS
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes: int, bigint, decimal, string
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 indexesyesnonoall fields are automatically indexed
SQL infoSupport of SQLyesnoSQL queriesSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
JSON over HTTP
gRPC
JDBC
Kafka Connector
ODBC
gRPC
HTTP REST
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Java
Python
Java
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresnono
Triggersnoyes, watching key changesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsyncUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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More resources
EsgynDBetcdFeatureBaseNSDb
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