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DBMS > MarkLogic vs. Netezza vs. QuestDB vs. RocksDB

System Properties Comparison MarkLogic vs. Netezza vs. QuestDB vs. RocksDB

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonQuestDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseData warehouse and analytics appliance part of IBM PureSystemsA high performance open source SQL database for time series dataEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Websitewww.marklogic.comwww.ibm.com/­products/­netezzaquestdb.iorocksdb.org
Technical documentationdocs.marklogic.comquestdb.io/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperMarkLogic Corp.IBMQuestDB Technology IncFacebook, Inc.
Initial release2001200020142013
Current release11.0, December 20228.11.4, April 2024
License infoCommercial or Open Sourcecommercial inforestricted free version is availablecommercialOpen Source infoApache 2.0Open Source infoBSD
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 languageC++Java (Zero-GC), C++, RustC++
Server operating systemsLinux
OS X
Windows
Linux infoincluded in applianceLinux
macOS
Windows
Linux
Data schemeschema-free infoSchema can be enforcedyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnono
Secondary indexesyesyesnono
SQL infoSupport of SQLyes infoSQL92yesSQL with time-series extensionsno
APIs and other access methodsJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
JDBC
ODBC
OLE DB
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
C++ API
Java API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptyesnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by timestamps)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication with eventual consistencyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionACIDACID for single-table writesyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yes, with Range Indexesyes infothrough memory mapped filesyes
User concepts infoAccess controlRole-based access control at the document and subdocument levelsUsers with fine-grained authorization conceptno
More information provided by the system vendor
MarkLogicNetezza infoAlso called PureData System for Analytics by IBMQuestDBRocksDB
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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We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
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» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MarkLogicNetezza infoAlso called PureData System for Analytics by IBMQuestDBRocksDB
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