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DBMS > BoltDB vs. etcd vs. HEAVY.AI vs. KeyDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison BoltDB vs. etcd vs. HEAVY.AI vs. KeyDB vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonetcd  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKeyDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionAn embedded key-value store for Go.A distributed reliable key-value storeA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelKey-value storeKey-value storeRelational DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score7.25
Rank#54  Overall
#5  Key-value stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitegithub.com/­boltdb/­boltetcd.io
github.com/­etcd-io/­etcd
github.com/­heavyai/­heavydb
www.heavy.ai
github.com/­Snapchat/­KeyDB
keydb.dev
azure.microsoft.com/­services/­synapse-analytics
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.heavy.aidocs.keydb.devdocs.microsoft.com/­azure/­synapse-analytics
DeveloperHEAVY.AI, Inc.EQ Alpha Technology Ltd.Microsoft
Initial release2013201620192016
Current release3.4, August 20195.10, January 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoBSD-3commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoGoC++ and CUDAC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
Windows infoexperimental
LinuxLinuxhosted
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenonoyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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.nonononono
Secondary indexesnononoyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLnonoyesnoyes
APIs and other access methodsgRPC
JSON over HTTP
JDBC
ODBC
Thrift
Vega
Proprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
JDBC
ODBC
Supported programming languagesGo.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C#
Java
PHP
Server-side scripts infoStored proceduresnononoLuaTransact SQL
Triggersnoyes, watching key changesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replicationMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynonononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardsimple password-based access control and ACLyes

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More resources
BoltDBetcdHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KeyDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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