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DBMS > GigaSpaces vs. Google Cloud Bigtable vs. OpenEdge vs. Prometheus vs. Stardog

System Properties Comparison GigaSpaces vs. Google Cloud Bigtable vs. OpenEdge vs. Prometheus vs. Stardog

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOpenEdge  Xexclude from comparisonPrometheus  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Application development environment with integrated database management systemOpen-source Time Series DBMS and monitoring systemEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Wide column store
Relational DBMSTime Series DBMSGraph DBMS
RDF store
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.gigaspaces.comcloud.google.com/­bigtablewww.progress.com/­openedgeprometheus.iowww.stardog.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlcloud.google.com/­bigtable/­docsdocumentation.progress.com/­output/­ua/­OpenEdge_latestprometheus.io/­docsdocs.stardog.com
DeveloperGigaspaces TechnologiesGoogleProgress Software CorporationStardog-Union
Initial release20002015198420152010
Current release15.5, September 2020OpenEdge 12.2, March 20207.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercialOpen Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetGoJava
Server operating systemsLinux
macOS
Solaris
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-freeyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesnoyesNumeric data onlyyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no infoXML can be used for describing objects metadatanoyesno infoImport of XML data possibleno infoImport/export of XML data possible
Secondary indexesyesnoyesnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-99 for query and DML statementsnoyes infoclose to SQL 92noYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
RESTful HTTP/JSON APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C++
Java
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
Progress proprietary ABL (Advanced Business Language).Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyesnoyesnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes, event driven architecturenoyesnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infosince Version 11.4Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Internal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationyes infoby FederationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencynoneImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonoyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnononoyes
User concepts infoAccess controlRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users and groupsnoAccess rights for users and roles

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More resources
GigaSpacesGoogle Cloud BigtableOpenEdgePrometheusStardog
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