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DBMS > Brytlyt vs. Hypertable vs. Ignite vs. Milvus vs. SiteWhere

System Properties Comparison Brytlyt vs. Hypertable vs. Ignite vs. Milvus vs. SiteWhere

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonHypertable  Xexclude from comparisonIgnite  Xexclude from comparisonMilvus  Xexclude from comparisonSiteWhere  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLAn open source BigTable implementation based on distributed file systems such as HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A DBMS designed for efficient storage of vector data and vector similarity searchesM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSWide column storeKey-value store
Relational DBMS
Vector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitebrytlyt.ioignite.apache.orgmilvus.iogithub.com/­sitewhere/­sitewhere
Technical documentationdocs.brytlyt.ioapacheignite.readme.io/­docsmilvus.io/­docs/­overview.mdsitewhere1.sitewhere.io/­index.html
DeveloperBrytlytHypertable Inc.Apache Software FoundationSiteWhere
Initial release20162009201520192010
Current release5.0, August 20230.9.8.11, March 2016Apache Ignite 2.62.3.4, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0
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 languageC, C++ and CUDAC++C++, Java, .NetC++, GoJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Data schemeyesschema-freeyespredefined scheme
Typing infopredefined data types such as float or dateyesnoyesVector, 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.yes infospecific XML-type available, but no XML query functionality.yesnono
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesnono
SQL infoSupport of SQLyesnoANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIHTTP REST
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++
Java
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoyes (compute grid and cache interceptors can be used instead)no
Triggersyesnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor on file system levelyes (replicated cache)selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoSecurity Hooks for custom implementationsRole based access control and fine grained access rightsUsers with fine-grained authorization concept
More information provided by the system vendor
BrytlytHypertableIgniteMilvusSiteWhere
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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BrytlytHypertableIgniteMilvusSiteWhere
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