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DBMS > Apache Impala vs. Graph Engine vs. MarkLogic vs. QuestDB

System Properties Comparison Apache Impala vs. Graph Engine vs. MarkLogic vs. QuestDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMarkLogic  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineOperational and transactional Enterprise NoSQL databaseA high performance open source SQL database for time series data
Primary database modelRelational DBMSGraph DBMS
Key-value store
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websiteimpala.apache.orgwww.graphengine.iowww.marklogic.comquestdb.io
Technical documentationimpala.apache.org/­impala-docs.htmlwww.graphengine.io/­docs/­manualdocs.marklogic.comquestdb.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMicrosoftMarkLogic Corp.QuestDB Technology Inc
Initial release2013201020012014
Current release4.1.0, June 202211.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT Licensecommercial 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

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Implementation languageC++.NET and CC++Java (Zero-GC), C++, Rust
Server operating systemsLinux.NETLinux
OS X
Windows
Linux
macOS
Windows
Data schemeyesyesschema-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.nonoyesno
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infoSQL92SQL with time-series extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJava 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 languagesAll languages supporting JDBC/ODBCC#
C++
F#
Visual Basic
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 proceduresyes infouser defined functions and integration of map-reduceyesyes infovia XQuery or JavaScriptno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infocan act as a resource manager in an XA/JTA transactionACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes, with Range Indexesyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole-based access control at the document and subdocument levels
More information provided by the system vendor
Apache ImpalaGraph Engine infoformer name: TrinityMarkLogicQuestDB
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
Apache ImpalaGraph Engine infoformer name: TrinityMarkLogicQuestDB
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