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DBMS > CrateDB vs. Derby vs. Microsoft Azure Data Explorer vs. Riak TS vs. Tarantool

Vergleich der Systemeigenschaften CrateDB vs. Derby vs. Microsoft Azure Data Explorer vs. Riak TS vs. Tarantool

Redaktionelle Informationen bereitgestellt von DB-Engines
NameCrateDB  Xaus Vergleich ausschliessenDerby infooft Apache Derby genannt, ursprünglich IBM Cloudscape; unter dem Namen JavaDB im Java SDK enthalten  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRiak TS  Xaus Vergleich ausschliessenTarantool  Xaus Vergleich ausschliessen
KurzbeschreibungVerteilter Data Store basierend auf LuceneFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Fully managed big data interactive analytics platformRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primäres DatenbankmodellDocument Store
Spatial DBMS
Suchmaschine
Time Series DBMS
Vektor DBMS
Relational DBMSRelational DBMS infocolumn orientedTime Series DBMSDocument Store
Key-Value Store
Relational DBMS
Sekundäre DatenbankmodelleRelational DBMSDocument 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
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,73
Rang#229  Overall
#37  Document Stores
#5  Spatial DBMS
#16  Suchmaschinen
#19  Time Series DBMS
#8  Vektor DBMS
Punkte5,30
Rang#66  Overall
#36  Relational DBMS
Punkte5,16
Rang#69  Overall
#37  Relational DBMS
Punkte0,25
Rang#308  Overall
#26  Time Series DBMS
Punkte1,67
Rang#150  Overall
#25  Document Stores
#25  Key-Value Stores
#69  Relational DBMS
Websitecratedb.comdb.apache.org/­derbyazure.microsoft.com/­services/­data-explorerwww.tarantool.io
Technische Dokumentationcratedb.com/­docsdb.apache.org/­derby/­manuals/­index.htmldocs.microsoft.com/­en-us/­azure/­data-explorerwww.tiot.jp/­riak-docs/­riak/­ts/­latestwww.tarantool.io/­en/­doc
EntwicklerCrateApache Software FoundationMicrosoftOpen Source, formerly Basho TechnologiesVK
Erscheinungsjahr20131997201920152008
Aktuelle Version10.17.1.0, November 2023cloud service with continuous releases3.0.0, September 20222.10.0, Mai 2022
Lizenz infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2kommerziellOpen SourceOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
ImplementierungsspracheJavaJavaErlangC und C++
Server BetriebssystemeAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAlle Betriebssysteme mit einer Java VMgehostetLinux
OS X
BSD
Linux
macOS
DatenschemaFlexible Schema (defined schema, partial schema, schema free)jaFixed schema with schema-less datatypes (dynamic)schemafreiFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesneinstring, 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, XSLTneinjajaneinnein
Sekundärindizesjajaall fields are automatically indexedeingeschränktja
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityjaKusto Query Language (KQL), SQL subsetyes, limitedFull-featured ANSI SQL support
APIs und andere ZugriffskonzepteADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JDBCMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP API
Native Erlang Interface
Open binary protocol
Unterstützte Programmiersprachen.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
Java.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte FunktionenJava Stored ProceduresYes, possible languages: KQL, Python, RErlangLua, C and SQL stored procedures
Triggersneinjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infopre-commit hooks and post-commit hooksja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingkeineSharding infoImplicit feature of the cloud serviceShardingSharding, 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 KnotenConfigurable replication on table/partition-levelSource-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.frei wählbarer ReplikationsfaktorAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyEventual Consistency
Immediate Consistency
Eventual 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 Integritätneinjaneinnein infolinks between datasets can be storedyes
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDneinneinACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajayes, write ahead logging
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjaneinyes, full featured in-memory storage engine with persistence
Berechtigungskonzept infoZugriffskontrolleRechteverwaltung mit BenutzeraccountsBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAzure Active Directory AuthenticationneinAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
Weitere Informationen bereitgestellt vom Systemhersteller
CrateDBDerby infooft Apache Derby genannt, ursprünglich IBM Cloudscape; unter dem Namen JavaDB im Java SDK enthaltenMicrosoft Azure Data ExplorerRiak TSTarantool
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» mehr
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» mehr
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» mehr
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» mehr
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» mehr
Licensing and pricing modelsSee CrateDB pricing >
» mehr

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Weitere Ressourcen
CrateDBDerby infooft Apache Derby genannt, ursprünglich IBM Cloudscape; unter dem Namen JavaDB im Java SDK enthaltenMicrosoft Azure Data ExplorerRiak TSTarantool
DB-Engines Blog Posts

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

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