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DBMS > BigObject vs. Cachelot.io vs. Pinecone vs. SingleStore

System Properties Comparison BigObject vs. Cachelot.io vs. Pinecone vs. SingleStore

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCachelot.io  Xexclude from comparisonPinecone  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesIn-memory caching systemA managed, cloud-native vector databaseMySQL 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 type
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeVector DBMSRelational 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
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Websitebigobject.iocachelot.iowww.pinecone.iowww.singlestore.com
Technical documentationdocs.bigobject.iodocs.pinecone.io/­docs/­overviewdocs.singlestore.com
DeveloperBigObject, Inc.Pinecone Systems, IncSingleStore Inc.
Initial release2015201520192013
Current release8.5, January 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoSimplified BSD Licensecommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonoyesno
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++, Go
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
FreeBSD
Linux
OS X
hostedLinux info64 bit version required
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoString, Number, Booleanyes
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.nononono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes infobut no triggers and foreign keys
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Memcached protocolRESTful HTTP APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
PythonBash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresLuanoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesnoyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlnonoFine grained access control via users, groups and roles
More information provided by the system vendor
BigObjectCachelot.ioPineconeSingleStore infoformer name was MemSQL
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BigObjectCachelot.ioPineconeSingleStore infoformer name was MemSQL
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