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DBMS > Dgraph vs. EsgynDB vs. eXtremeDB vs. Hypertable vs. Milvus

System Properties Comparison Dgraph vs. EsgynDB vs. eXtremeDB vs. Hypertable vs. Milvus

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonHypertable  Xexclude from comparisonMilvus  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionNatively in-memory DBMS with options for persistency, high-availability and clusteringAn open source BigTable implementation based on distributed file systems such as HadoopA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelGraph DBMSRelational DBMSRelational DBMS
Time Series DBMS
Wide column storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score0.73
Rank#227  Overall
#104  Relational DBMS
#18  Time Series DBMS
Score1.81
Rank#144  Overall
#5  Vector DBMS
Websitedgraph.iowww.esgyn.cnwww.mcobject.commilvus.io
Technical documentationdgraph.io/­docswww.mcobject.com/­docs/­extremedb.htmmilvus.io/­docs/­overview.md
DeveloperDgraph Labs, Inc.EsgynMcObjectHypertable Inc.
Initial release20162015200120092019
Current release8.2, 20210.9.8.11, March 20162.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
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 languageGoC++, JavaC and C++C++C++, Go
Server operating systemsLinux
OS X
Windows
LinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesnoVector, Numeric and String
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.nonono infosupport of XML interfaces availableno
Secondary indexesyesyesyesrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLnoyesyes infowith the option: eXtremeSQLnono
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
C++ API
Thrift
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C#
C++
Java
Lua
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresyesnono
Triggersnonoyes infoby defining eventsnono
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioning / shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardnoRole based access control and fine grained access rights
More information provided by the system vendor
DgraphEsgynDBeXtremeDBHypertableMilvus
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Highly available, versatile, and robust with millisecond latency. Supports batch...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
RAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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DgraphEsgynDBeXtremeDBHypertableMilvus
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