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DBMS > Faircom DB vs. GBase vs. Hazelcast vs. Microsoft Azure Data Explorer vs. ScyllaDB

Vergleich der Systemeigenschaften Faircom DB vs. GBase vs. Hazelcast vs. Microsoft Azure Data Explorer vs. ScyllaDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameFaircom DB infoformerly c-treeACE  Xaus Vergleich ausschliessenGBase  Xaus Vergleich ausschliessenHazelcast  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenScyllaDB  Xaus Vergleich ausschliessen
KurzbeschreibungNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A widely adopted in-memory data gridFully managed big data interactive analytics platformCassandra and DynamoDB compatible wide column store
Primäres DatenbankmodellKey-Value Store
Relational DBMS
Relational DBMSKey-Value StoreRelational DBMS infocolumn orientedWide Column Store
Sekundäre DatenbankmodelleDocument Store infoJSON support with IMDG 3.12Document 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
Key-Value Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,20
Rang#318  Overall
#48  Key-Value Stores
#141  Relational DBMS
Punkte1,07
Rang#185  Overall
#86  Relational DBMS
Punkte5,97
Rang#57  Overall
#6  Key-Value Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte4,75
Rang#68  Overall
#5  Wide Column Stores
Websitewww.faircom.com/­products/­faircom-dbwww.gbase.cnhazelcast.comazure.microsoft.com/­services/­data-explorerwww.scylladb.com
Technische Dokumentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.scylladb.com
EntwicklerFairCom CorporationGeneral Data Technology Co., Ltd.HazelcastMicrosoftScyllaDB
Erscheinungsjahr19792004200820192015
Aktuelle VersionV12, November 2020GBase 8a, GBase 8s, GBase 8c5.3.6, November 2023cloud service with continuous releasesScyllaDB Open Source 5.4.1, Jaenner 2024
Lizenz infoCommercial or Open Sourcekommerziell infoRestricted, free version availablekommerziellOpen Source infoApache Version 2; commercial licenses availablekommerziellOpen Source infoOpen Source (AGPL), commercial license available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
ImplementierungsspracheANSI C, C++C, Java, PythonJavaC++
Server BetriebssystemeAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
LinuxAlle Betriebssysteme mit einer Java VMgehostetLinux
Datenschemaschema free, schema optional, schema required, partial schema,jaschemafreiFixed schema with schema-less datatypes (dynamic)schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder dateja, ANSI Standard SQL Types, JSON, typed binary structuresjajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaja infothe object must implement a serialization strategyjanein
Sekundärindizesjajajaall fields are automatically indexedja infocluster global secondary indices
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsStandard with numerous extensionsSQL-like query languageKusto Query Language (KQL), SQL subsetSQL-like DML and DDL statements (CQL)
APIs und andere ZugriffskonzepteADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
ADO.NET
C API
JDBC
ODBC
JCache
JPA
Memcached Protokoll
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Proprietäres Protokoll infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Unterstützte Programmiersprachen.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-seitige Scripts infoStored Proceduresja info.Net, JavaScript, C/C++user defined functionsja infoEvent Listeners, Executor ServicesYes, possible languages: KQL, Python, Ryes, Lua
Triggersjajaja infoEventsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioninghorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).jaja infoReplicated Mapja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.frei wählbarer Replikationsfaktor infoRepresentation of geographical distribution of servers is possible
MapReduce infoBietet ein API für Map/Reduce OperationenneinjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Fremdschlüssel inforeferenzielle Integritätjajaneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationentunable from ACID to Eventually ConsistentACIDone or two-phase-commit; repeatable reads; read commitedneinnein infoAtomicity and isolation are supported for single operations
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der DatenYes, tunable from durable to delayed durability to in-memoryjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinja infoin-memory tables
Berechtigungskonzept infoZugriffskontrolleFine grained access rights according to SQL-standard with additional protections for filesjaRole-based access controlAzure Active Directory AuthenticationAccess rights for users can be defined per object
Weitere Informationen bereitgestellt vom Systemhersteller
Faircom DB infoformerly c-treeACEGBaseHazelcastMicrosoft Azure Data ExplorerScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» mehr
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» mehr
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» mehr
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» mehr
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» mehr
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» mehr

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Weitere Ressourcen
Faircom DB infoformerly c-treeACEGBaseHazelcastMicrosoft Azure Data ExplorerScyllaDB
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