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DBMS > GigaSpaces vs. Informix vs. RocksDB vs. TypeDB vs. Vertica

Vergleich der Systemeigenschaften GigaSpaces vs. Informix vs. RocksDB vs. TypeDB vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGigaSpaces  Xaus Vergleich ausschliessenInformix  Xaus Vergleich ausschliessenRocksDB  Xaus Vergleich ausschliessenTypeDB infoformerly named Grakn  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataEmbeddable persistent key-value store optimized for fast storage (flash and RAM)TypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.Cloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primäres DatenbankmodellDocument Store
Object oriented DBMS infoValues are user defined objects
Relational DBMS infoSeit Version 12.10 JSON/BSON Datentype mit Kompatibilität zu MongoDBKey-Value StoreGraph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
Relational DBMS infoColumn oriented
Sekundäre DatenbankmodelleGraph DBMS
Suchmaschine
Document Store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,91
Rang#197  Overall
#33  Document Stores
#7  Object oriented DBMS
Punkte16,32
Rang#35  Overall
#21  Relational DBMS
Punkte2,84
Rang#97  Overall
#16  Key-Value Stores
Punkte0,65
Rang#230  Overall
#20  Graph DBMS
#9  Object oriented DBMS
#107  Relational DBMS
Punkte9,62
Rang#42  Overall
#26  Relational DBMS
Websitewww.gigaspaces.comwww.ibm.com/­products/­informixrocksdb.orgtypedb.comwww.vertica.com
Technische Dokumentationdocs.gigaspaces.com/­latest/­landing.htmlinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
github.com/­facebook/­rocksdb/­wikitypedb.com/­docsvertica.com/­documentation
EntwicklerGigaspaces TechnologiesIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Facebook, Inc.VaticleOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr20001984201320162005
Aktuelle Version15.5, September 202014.10.FC5, November 20209.4.0, Juni 20242.28.3, Juni 202412.0.3, Jänner 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablekommerziell infokostenlose Developer Edition verfügbarOpen Source infoBSDOpen Source infoGPL Version 3, commercial licenses availablekommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinnein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJava, C++, .NetC,C++ und JavaC++JavaC++
Server BetriebssystemeLinux
macOS
Solaris
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxLinux
OS X
Windows
Linux
DatenschemaschemafreijaschemafreijaYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infoSeit Version 12.10 Unterstützung für native JSON/BSON Datentypenneinjayes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTnein infoXML can be used for describing objects metadataneinneinnein
SekundärindizesjajaneinjaNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL-99 for query and DML statementsjaneinneinFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
JSON API infoKompatibel zu MongoDB
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
C++ API
Java API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte Programmiersprachen.Net
C++
Java
Python
Scala
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
Perl
Python
Ruby
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored Proceduresjajaneinneinyes, PostgreSQL PL/pgSQL, with minor differences
Triggersjajaneinyes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardinghorizontal partitioningnohorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikation infosynchronous or asynchronous
Source-Replica Replikation infosynchronous or asynchronous
Multi-Source Replikation
Source-Replica Replikation
jaSynchronous replication via raftMulti-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce Operationenja infoMap-Reduce pattern can be built with XAP task executorsneinneinnono infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinjaneinnein infosubstituted by the relationship featureja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDjaACIDACID
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 haltenjajajaneinnein
Berechtigungskonzept infoZugriffskontrolleRole-based access controlUsers with fine-grained authentication, authorization, and auditing controlsneinyes infoat REST API level; other APIs in progressfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
GigaSpacesInformixRocksDBTypeDB infoformerly named GraknVertica infoOpenText™ Vertica™
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» mehr
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» mehr
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» mehr
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» mehr

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Weitere Ressourcen
GigaSpacesInformixRocksDBTypeDB infoformerly named GraknVertica infoOpenText™ Vertica™
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