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DBMS > Faircom EDGE vs. HugeGraph vs. Milvus vs. YDB

System Properties Comparison Faircom EDGE vs. HugeGraph vs. Milvus vs. YDB

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHugeGraph  Xexclude from comparisonMilvus  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA fast-speed and highly-scalable Graph DBMSA DBMS designed for efficient storage of vector data and vector similarity searchesA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelKey-value store
Relational DBMS
Graph DBMSVector DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitewww.faircom.com/­products/­faircom-edgegithub.com/­hugegraph
hugegraph.apache.org
milvus.iogithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlhugegraph.apache.org/­docsmilvus.io/­docs/­overview.mdydb.tech/­en/­docs
DeveloperFairCom CorporationBaiduYandex
Initial release1979201820192019
Current releaseV3, October 20200.92.3.4, January 2024
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0; commercial license available
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageANSI C, C++JavaC++, Go
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
macOS
Unix
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL TypesyesVector, Numeric and Stringyes
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 indexesyesyes infoalso supports composite index and range indexnoyes
SQL infoSupport of SQLyes infoANSI SQL queriesnonoSQL-like query language (YQL)
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP APIRESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Groovy
Java
Python
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++asynchronous Gremlin script jobsnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsyes infodepending on used storage backend, e.g. Cassandra and HBaseActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Users, roles and permissionsRole based access control and fine grained access rightsAccess rights defined for Yandex Cloud users
More information provided by the system vendor
Faircom EDGE infoformerly c-treeEDGEHugeGraphMilvusYDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
Faircom EDGE infoformerly c-treeEDGEHugeGraphMilvusYDB
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