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DBMS > BoltDB vs. Cachelot.io vs. Microsoft Azure Data Explorer vs. Redis vs. Warp 10

System Properties Comparison BoltDB vs. Cachelot.io vs. Microsoft Azure Data Explorer vs. Redis vs. Warp 10

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonCachelot.io  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonRedis  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAn embedded key-value store for Go.In-memory caching systemFully managed big data interactive analytics platformPopular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelKey-value storeKey-value storeRelational DBMS infocolumn orientedKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceTime Series DBMS
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Document store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score157.80
Rank#6  Overall
#1  Key-value stores
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitegithub.com/­boltdb/­boltcachelot.ioazure.microsoft.com/­services/­data-explorerredis.com
redis.io
www.warp10.io
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.redis.com/­latest/­index.html
redis.io/­docs
www.warp10.io/­content/­02_Getting_started
DeveloperMicrosoftRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.SenX
Initial release20132015201920092015
Current releasecloud service with continuous releases7.2.4, January 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoSimplified BSD LicensecommercialOpen Source infosource-available extensions (modules), commercial licenses for Redis EnterpriseOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
Implementation languageGoC++CJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
hostedBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Linux
OS X
Windows
Data schemeschema-freeschema-freeFixed schema with schema-less datatypes (dynamic)schema-freeschema-free
Typing infopredefined data types such as float or datenonoyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typespartial 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.nonoyesnono
Secondary indexesnonoall fields are automatically indexedyes infowith RediSearch moduleno
SQL infoSupport of SQLnonoKusto Query Language (KQL), SQL subsetwith RediSQL moduleno
APIs and other access methodsMemcached protocolMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
proprietary protocol infoRESP - REdis Serialization ProtocolHTTP API
Jupyter
WebSocket
Supported programming languagesGo.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
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
Server-side scripts infoStored proceduresnonoYes, possible languages: KQL, Python, RLua; Redis Functions coming in Redis 7 (slides and Github)yes infoWarpScript
Triggersnonoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicypublish/subscribe channels provide some trigger functionality; RedisGearsno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud serviceSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkthrough RedisGearsno
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneEventual Consistency
Immediate Consistency
Eventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoAtomic execution of command blocks and scripts and optimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesnoyesyes 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.nononoyesyes
User concepts infoAccess controlnonoAzure Active Directory AuthenticationAccess Control Lists (ACLs): redis.io/­docs/­management/­security/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­docs/­management/­security/­encryption
Password-based authentication
Mandatory use of cryptographic tokens, containing fine-grained authorizations

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3rd partiesRedisson PRO: The ultra-fast Redis Java Client.
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More resources
BoltDBCachelot.ioMicrosoft Azure Data ExplorerRedisWarp 10
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