DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Informationen zu relationalen und NoSQL DatenbankmanagementsystemenEin Service von Redgate Software

DBMS > DolphinDB vs. Google Cloud Bigtable vs. Heroic vs. Microsoft Azure Synapse Analytics vs. Neo4j

Vergleich der Systemeigenschaften DolphinDB vs. Google Cloud Bigtable vs. Heroic vs. Microsoft Azure Synapse Analytics vs. Neo4j

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDolphinDB  Xaus Vergleich ausschliessenGoogle Cloud Bigtable  Xaus Vergleich ausschliessenHeroic  Xaus Vergleich ausschliessenMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xaus Vergleich ausschliessenNeo4j  Xaus Vergleich ausschliessen
KurzbeschreibungDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primäres DatenbankmodellTime Series DBMS
Vektor DBMS
Key-Value Store
Wide Column Store
Time Series DBMSRelational DBMSGraph DBMS
Sekundäre DatenbankmodelleRelational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte2,72
Rang#100  Overall
#8  Time Series DBMS
#5  Vektor DBMS
Punkte2,97
Rang#92  Overall
#15  Key-Value Stores
#8  Wide Column Stores
Punkte0,13
Rang#335  Overall
#29  Time Series DBMS
Punkte18,98
Rang#31  Overall
#19  Relational DBMS
Punkte42,68
Rang#21  Overall
#1  Graph DBMS
Websitewww.dolphindb.comcloud.google.com/­bigtablegithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analyticsneo4j.com
Technische Dokumentationdocs.dolphindb.cn/­en/­help200/­index.htmlcloud.google.com/­bigtable/­docsspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analyticsneo4j.com/­docs
EntwicklerDolphinDB, IncGoogleSpotifyMicrosoftNeo4j, Inc.
Erscheinungsjahr20182015201420162007
Aktuelle Versionv2.00.4, January 20225.23, August 2024
Lizenz infoCommercial or Open Sourcekommerziell infofree community version availablekommerziellOpen Source infoApache 2.0kommerziellOpen Source infoGPL Version3, kommerzielle Lizenzen verfügbar bei Bedarf
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
ImplementierungsspracheC++JavaC++Java, Scala
Server BetriebssystemeLinux
Windows
gehostetgehostetLinux infoKann auch Server-los als embedded Java Datenbank verwendet werden.
OS X
Solaris
Windows
Datenschemajaschemafreischemafreijaschemafrei und schema-optional
Typisierung infovordefinierte Datentypen, z.B. float oder datejaneinjajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinnein
Sekundärindizesjaneinja infovia Elasticsearchjaja infoAustauschbares Index Subsystem, per Default Apache Lucene
SQL infoSupport of SQLSQL-like query languageneinneinjanein
APIs und andere ZugriffskonzepteJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Unterstützte ProgrammiersprachenC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
Java
PHP
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-seitige Scripts infoStored ProceduresjaneinneinTransact SQLja infoUser defined Procedures and Functions
Triggersneinneinneinneinja infomittels Event Handler
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale PartitionierungShardingShardingSharding, horizontal partitioningja, mit Neo4j Fabric
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenjaInternal replication in Colossus, and regional replication between two clusters in different zonesjajaCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoBietet ein API für Map/Reduce Operationenjajaneinneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Immediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Fremdschlüssel inforeferenzielle Integritätneinneinneinnein infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsja infoBeziehungen in Graphen
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenjaAtomic single-row operationsneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinnein
Berechtigungskonzept infoZugriffskontrolleAdministrators, Users, GroupsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)jaUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
Weitere Informationen bereitgestellt vom Systemhersteller
DolphinDBGoogle Cloud BigtableHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNeo4j
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» mehr
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» mehr
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» mehr
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» mehr
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» mehr
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» mehr
Neuigkeiten

Elevate Fraud Detection With Neo4j on AWS: Uncover Hidden Patterns and Enhance Accuracy
20. September 2024

The Ethics of Generative AI: Understanding the Principles and Risks
18. September 2024

GraphSummit Europe 2024: Actionable Insights From Industry Leaders and Innovators
18. September 2024

This Week in Neo4j: Knowledge Graph, Data Loading, Olympics, CSV and more
7. September 2024

Neo4j Expands Cloud Database Capabilities to Power Enterprise-Scale Graph Deployments
4. September 2024

Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

Zugehörige Produkte und Dienstleistungen

Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
DolphinDBGoogle Cloud BigtableHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNeo4j
DB-Engines Blog Posts

Applying Graph Analytics to Game of Thrones
12. Juni 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
2. März 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22. Dezember 2015, Emil Eifrem (guest author)

alle anzeigen

Erwähnungen in aktuellen Nachrichten

Google Cloud adds graph processing to Spanner, SQL support to Bigtable
1. August 2024, InfoWorld

Google introduces Bigtable SQL access and Spanner's new AI-ready features
1. August 2024, ZDNet

Google's AI-First Strategy Brings Vector Support To Cloud Databases
1. März 2024, Forbes

Google Cloud Adds GenAI, Core Enhancements Across Data Platform
1. August 2024, The New Stack

Google Introduces Autoscaling for Cloud Bigtable for Optimizing Costs
31. Januar 2022, InfoQ.com

bereitgestellt von Google News

General Available: Azure Synapse Runtime for Apache Spark 3.4 is now GA
8. April 2024, Microsoft

Azure Synapse Runtime for Apache Spark 3.2 End of Support
22. März 2024, Microsoft

Azure Synapse vs. Databricks: Data Platform Comparison 2024
26. März 2024, eWeek

Announcing General Availability of Graph Semantics in Kusto
27. Mai 2024, Microsoft

Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT
18. Oktober 2023, AWS Blog

bereitgestellt von Google News

Neo4j lowers barriers to graph technology with gen AI copilot, 15x read capacity
4. September 2024, VentureBeat

Implementing GraphReader with Neo4j and LangGraph | by Tomaz Bratanic | Sep, 2024
11. September 2024, Towards Data Science

Neo4j Transforms Its Cloud Database Portfolio to Accelerate Graph Adoption & GenAI for the Enterprise
4. September 2024, PR Newswire

Neo4j charts upward course for GraphRAG in graph databases
4. September 2024, Techzine Europe

Neo4j eyes GenAI workloads in APAC
18. Juli 2024, ComputerWeekly.com

bereitgestellt von Google News



Teilen sie diese Seite mit ihrem Netzwerk

Featured Products

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Präsentieren Sie hier Ihr Produkt