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DBMS > BigObject vs. Ehcache vs. Lovefield vs. SingleStore

System Properties Comparison BigObject vs. Ehcache vs. Lovefield vs. SingleStore

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonEhcache  Xexclude from comparisonLovefield  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesA widely adopted Java cache with tiered storage optionsEmbeddable relational database for web apps written in pure JavaScriptMySQL 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 storeRelational 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
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Websitebigobject.iowww.ehcache.orggoogle.github.io/­lovefieldwww.singlestore.com
Technical documentationdocs.bigobject.iowww.ehcache.org/­documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.singlestore.com
DeveloperBigObject, Inc.Terracotta Inc, owned by Software AGGoogleSingleStore Inc.
Initial release2015200920142013
Current release3.10.0, March 20222.1.12, February 20178.5, January 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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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 languageJavaJavaScriptC++, Go
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux info64 bit version required
Data schemeyesschema-freeyesyes
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.nononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language infovia JavaScript builder patternyes infobut no triggers and foreign keys
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JCacheCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesJavaJavaScriptBash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresLuanonoyes
Triggersnoyes infoCache Event ListenersUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServernoneSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby using Terracotta ServernoneSource-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 systemnoneTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infosupports JTA and can work as an XA resourceACIDACID
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 persistentyesyes infousing a tiered cache-storage approachyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes 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.yesyesyes infousing MemoryDByes
User concepts infoAccess controlnononoFine grained access control via users, groups and roles
More information provided by the system vendor
BigObjectEhcacheLovefieldSingleStore 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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More resources
BigObjectEhcacheLovefieldSingleStore infoformer name was MemSQL
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