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DBMS > EsgynDB vs. etcd vs. GeoSpock vs. Microsoft Azure Table Storage

System Properties Comparison EsgynDB vs. etcd vs. GeoSpock vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonetcd  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA distributed reliable key-value storeSpatial and temporal data processing engine for extreme data scaleA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSKey-value storeRelational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitewww.esgyn.cnetcd.io
github.com/­etcd-io/­etcd
geospock.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
DeveloperEsgynGeoSpockMicrosoft
Initial release20152012
Current release3.4, August 20192.0, September 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaGoJava, Javascript
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
hostedhosted
Data schemeyesschema-freeyesschema-free
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.nononono
Secondary indexesyesnotemporal, categoricalno
SQL infoSupport of SQLyesnoANSI SQL for query only (using Presto)no
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
JSON over HTTP
JDBCRESTful HTTP API
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
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresJava Stored Proceduresnonono
Triggersnoyes, watching key changesnono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding infoImplicit feature of the cloud service
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 infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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-standardnoAccess rights for users can be defined per tableAccess rights based on private key authentication or shared access signatures

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More resources
EsgynDBetcdGeoSpockMicrosoft Azure Table Storage
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