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DBMS > searchxml vs. SingleStore vs. TigerGraph vs. Warp 10

System Properties Comparison searchxml vs. SingleStore vs. TigerGraph vs. Warp 10

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Editorial information provided by DB-Engines
Namesearchxml  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTigerGraph  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionDBMS for structured and unstructured content wrapped with an application serverMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelNative XML DBMS
Search engine
Relational DBMSGraph DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score5.38
Rank#62  Overall
#35  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.searchxml.net/­category/­productswww.singlestore.comwww.tigergraph.comwww.warp10.io
Technical documentationwww.searchxml.net/­support/­handoutsdocs.singlestore.comdocs.tigergraph.comwww.warp10.io/­content/­02_Getting_started
Developerinformationpartners gmbhSingleStore Inc.SenX
Initial release2015201320172015
Current release1.08.5, January 2024
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercialOpen Source infoApache License 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.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC++C++, GoC++Java
Server operating systemsWindowsLinux info64 bit version requiredLinuxLinux
OS X
Windows
Data schemeschema-freeyesyesschema-free
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.yesnonono
Secondary indexesyesyesno
SQL infoSupport of SQLnoyes infobut no triggers and foreign keysSQL-like query language (GSQL)no
APIs and other access methodsRESTful HTTP API
WebDAV
XQuery
XSLT
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
HTTP API
Jupyter
WebSocket
Supported programming languagesC++ infomost other programming languages supported via APIsBash
C
C#
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresyes infoon the application serveryesyesyes infoWarpScript
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infohash partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infosychronisation to multiple collectionsSource-replica replication infostores two copies of each physical data partition on two separate nodesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculationsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlDomain, group and role-based access control at the document level and for application servicesFine grained access control via users, groups and rolesRole-based access controlMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
searchxmlSingleStore infoformer name was MemSQLTigerGraphWarp 10
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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More resources
searchxmlSingleStore infoformer name was MemSQLTigerGraphWarp 10
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