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DBMS > etcd vs. Heroic vs. Microsoft Azure Synapse Analytics vs. NSDb

System Properties Comparison etcd vs. Heroic vs. Microsoft Azure Synapse Analytics vs. NSDb

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionA distributed reliable key-value storeTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelKey-value storeTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.64
Rank#54  Overall
#5  Key-value stores
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
github.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analyticsnsdb.io
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
spotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecture
DeveloperSpotifyMicrosoft
Initial release201420162017
Current release3.4, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC++Java, Scala
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedLinux
macOS
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes: 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 indexesnoyes infovia Elasticsearchyesall fields are automatically indexed
SQL infoSupport of SQLnonoyesSQL-like query language
APIs and other access methodsgRPC
JSON over HTTP
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
Java
PHP
Java
Scala
Server-side scripts infoStored proceduresnonoTransact SQLno
Triggersyes, watching key changesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoyes

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More resources
etcdHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDb
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