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DBMS > eXtremeDB vs. FatDB vs. HugeGraph vs. Lovefield vs. Pinecone

System Properties Comparison eXtremeDB vs. FatDB vs. HugeGraph vs. Lovefield vs. Pinecone

Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonFatDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonLovefield  Xexclude from comparisonPinecone  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringA .NET NoSQL DBMS that can integrate with and extend SQL Server.A fast-speed and highly-scalable Graph DBMSEmbeddable relational database for web apps written in pure JavaScriptA managed, cloud-native vector database
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Graph DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitewww.mcobject.comgithub.com/­hugegraph
hugegraph.apache.org
google.github.io/­lovefieldwww.pinecone.io
Technical documentationwww.mcobject.com/­docs/­extremedb.htmhugegraph.apache.org/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.pinecone.io/­docs/­overview
DeveloperMcObjectFatCloudBaiduGooglePinecone Systems, Inc
Initial release20012012201820142019
Current release8.2, 20210.92.1.12, February 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C#JavaJavaScript
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
WindowsLinux
macOS
Unix
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safarihosted
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesString, Number, Boolean
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.no infosupport of XML interfaces availablenonono
Secondary indexesyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLno infoVia inetgration in SQL ServernoSQL-like query language infovia JavaScript builder patternno
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C#Groovy
Java
Python
JavaScriptPython
Server-side scripts infoStored proceduresyesyes infovia applicationsasynchronous Gremlin script jobsno
Triggersyes infoby defining eventsyes infovia applicationsnoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesnoyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing MemoryDBno
User concepts infoAccess controlno infoCan implement custom security layer via applicationsUsers, roles and permissionsno
More information provided by the system vendor
eXtremeDBFatDBHugeGraphLovefieldPinecone
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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eXtremeDBFatDBHugeGraphLovefieldPinecone
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