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DBMS > EJDB vs. Microsoft Azure Data Explorer vs. SingleStore vs. Tarantool

Vergleich der Systemeigenschaften EJDB vs. Microsoft Azure Data Explorer vs. SingleStore vs. Tarantool

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameEJDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSingleStore infoformer name was MemSQL  Xaus Vergleich ausschliessenTarantool  Xaus Vergleich ausschliessen
KurzbeschreibungEingebettete Library mit JSON-Notation für Queries (Syntax ähnlich zu MongoDB)Fully managed big data interactive analytics platformMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primäres DatenbankmodellDocument StoreRelational DBMS infocolumn orientedRelational DBMSDocument Store
Key-Value Store
Relational DBMS
Sekundäre DatenbankmodelleDocument 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
Suchmaschine 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
Spatial DBMS
Time Series DBMS
Vektor DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,13
Rang#331  Overall
#46  Document Stores
Punkte3,28
Rang#83  Overall
#45  Relational DBMS
Punkte4,02
Rang#74  Overall
#39  Relational DBMS
Punkte1,63
Rang#139  Overall
#25  Document Stores
#24  Key-Value Stores
#65  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbazure.microsoft.com/­services/­data-explorerwww.singlestore.comwww.tarantool.io
Technische Dokumentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.microsoft.com/­en-us/­azure/­data-explorerdocs.singlestore.comwww.tarantool.io/­en/­doc
EntwicklerSoftmotionsMicrosoftSingleStore Inc.VK
Erscheinungsjahr2012201920132008
Aktuelle Versioncloud service with continuous releases8.5, Jänner 20242.10.0, Mai 2022
Lizenz infoCommercial or Open SourceOpen Source infoGPLv2kommerziellkommerziell infofree developer edition availableOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheCC++, GoC und C++
Server BetriebssystemeserverlosgehostetLinux info64 bit version requiredBSD
Linux
macOS
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)jaFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infostring, integer, double, bool, date, object_idja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjastring, double, decimal, uuid, integer, blob, boolean, datetime
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjaneinnein
Sekundärindizesneinall fields are automatically indexedjaja
SQL infoSupport of SQLneinKusto Query Language (KQL), SQL subsetyes infobut no triggers and foreign keysFull-featured ANSI SQL support
APIs und andere ZugriffskonzepteIn-process LibraryMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Open binary protocol
Unterstützte ProgrammiersprachenActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Bash
C
C#
Java
JavaScript (Node.js)
Python
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-seitige Scripts infoStored ProceduresneinYes, possible languages: KQL, Python, RjaLua, C and SQL stored procedures
Triggersneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineSharding infoImplicit feature of the cloud serviceSharding infohash partitioningSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenkeineja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikation infostores two copies of each physical data partition on two separate nodesAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoBietet ein API für Map/Reduce OperationenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein infocan define user-defined aggregate functions for map-reduce-style calculations
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency
Immediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Fremdschlüssel inforeferenzielle Integritätnein infoNormalerweise nicht gebraucht, ähnliche Funktionalität mit collection joinsneinneinyes
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja infoRead/Write Lockingjayes, multi-version concurrency control (MVCC)ja
Durability infoDauerhafte Speicherung der Datenjajaja infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes, write ahead logging
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjayes, full featured in-memory storage engine with persistence
Berechtigungskonzept infoZugriffskontrolleneinAzure Active Directory AuthenticationFine grained access control via users, groups and rolesAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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Weitere Ressourcen
EJDBMicrosoft Azure Data ExplorerSingleStore infoformer name was MemSQLTarantool
DB-Engines Blog Posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17. Oktober 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9. Juni 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14. Februar 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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Data processing speed and reliability: in-memory synchronous replication
9. November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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Erwähnungen in aktuellen Nachrichten

We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer
31. Mai 2024, azure.microsoft.com

Update records in a Kusto Database (public preview)
20. Februar 2024, azure.microsoft.com

Announcing General Availability to migrate Virtual Network injected Azure Data Explorer Cluster to Private Endpoints
5. Februar 2024, azure.microsoft.com

Announcing General Availability of Graph Semantics in Kusto
27. Mai 2024, azure.microsoft.com

General availability: Azure Data Explorer adds new geospatial capabilities
23. Januar 2024, azure.microsoft.com

bereitgestellt von Google News

SingleStore Partners With Snowflake to Help Users Build Faster, More Efficient Real Time AI Applications
19. September 2024, Business Wire

Third time was the charm for SingleStore in the cloud, CEO says
8. Juli 2024, The Register

Achieve near real-time analytics on Amazon DynamoDB with SingleStore
16. September 2024, AWS Blog

SingleStore CEO sees little future for purpose-built vector databases
24. Januar 2024, VentureBeat

Building a Modern Database: Nikita Shamgunov on Postgres and Beyond
18. April 2024, Madrona Venture Group

bereitgestellt von Google News

Deploying Tarantool Cartridge applications with zero effort (Part 1)
16. Dezember 2019, Хабр

VShard — horizontal scaling in Tarantool
7. März 2019, Хабр

Accelerating PHP connectors for Tarantool using Async, Swoole, and Parallel
18. Dezember 2019, Хабр

bereitgestellt von Google News



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