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DBMS > GigaSpaces vs. Ingres vs. MarkLogic vs. QuestDB

System Properties Comparison GigaSpaces vs. Ingres vs. MarkLogic vs. QuestDB

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonIngres  Xexclude from comparisonMarkLogic  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsWell established RDBMSOperational and transactional Enterprise NoSQL databaseA high performance open source SQL database for time series data
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMS
Secondary database modelsGraph DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websitewww.gigaspaces.comwww.actian.com/­databases/­ingreswww.progress.com/­marklogicquestdb.io
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.actian.com/­ingreswww.progress.com/­marklogic/­documentationquestdb.io/­docs
DeveloperGigaspaces TechnologiesActian CorporationMarkLogic Corp.QuestDB Technology Inc
Initial release20001974 infooriginally developed at University Berkely in early 1970s20012014
Current release15.5, September 202011.2, May 202211.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercial inforestricted free version is availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetCC++Java (Zero-GC), C++, Rust
Server operating systemsLinux
macOS
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeschema-freeyesschema-free infoSchema can be enforcedyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyes
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 metadatano infobut tools for importing/exporting data from/to XML-files availableyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-99 for query and DML statementsyesyes infoSQL92SQL with time-series extensions
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languages.Net
C++
Java
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyesyesyes infovia XQuery or JavaScriptno
Triggersyes, event driven architectureyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Ingres ReplicatoryesSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infocan act as a resource manager in an XA/JTA transactionACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes, with Range Indexesyes infothrough memory mapped files
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levels
More information provided by the system vendor
GigaSpacesIngresMarkLogicQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
GigaSpacesIngresMarkLogicQuestDB
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