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DBMS > MarkLogic vs. Pinecone vs. Teradata Aster vs. XTDB

System Properties Comparison MarkLogic vs. Pinecone vs. Teradata Aster vs. XTDB

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonPinecone  Xexclude from comparisonTeradata Aster  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionOperational and transactional Enterprise NoSQL databaseA managed, cloud-native vector databasePlatform for big data analytics on multistructured data sources and typesA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Vector DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.progress.com/­marklogicwww.pinecone.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.progress.com/­marklogic/­documentationdocs.pinecone.io/­docs/­overviewwww.xtdb.com/­docs
DeveloperMarkLogic Corp.Pinecone Systems, IncTeradataJuxt Ltd.
Initial release2001201920052019
Current release11.0, December 20221.19, September 2021
License infoCommercial or Open Sourcecommercial inforestricted free version is availablecommercialcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Clojure
Server operating systemsLinux
OS X
Windows
hostedLinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-free infoSchema can be enforcedFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyesString, Number, Booleanyesyes, extensible-data-notation format
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.yesnoyes infoin Aster File Storeno
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoSQL92noyeslimited SQL, making use of Apache Calcite
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
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
HTTP REST
JDBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
PythonC
C#
C++
Java
Python
R
Clojure
Java
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptR packagesno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesnono
User concepts infoAccess controlRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standard

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More resources
MarkLogicPineconeTeradata AsterXTDB infoformerly named Crux
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