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DBMS > atoti vs. Axibase vs. HarperDB vs. HEAVY.AI vs. Milvus

System Properties Comparison atoti vs. Axibase vs. HarperDB vs. HEAVY.AI vs. Milvus

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonAxibase  Xexclude from comparisonHarperDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelObject oriented DBMSTime Series DBMSDocument storeRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Websiteatoti.ioaxibase.com/­docs/­atsd/­financewww.harperdb.iogithub.com/­heavyai/­heavydb
www.heavy.ai
milvus.io
Technical documentationdocs.atoti.iodocs.harperdb.io/­docsdocs.heavy.aimilvus.io/­docs/­overview.md
DeveloperActiveViamAxibase CorporationHarperDBHEAVY.AI, Inc.
Initial release2013201720162019
Current release155853.1, August 20215.10, January 20222.3.4, January 2024
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercial infofree community edition availableOpen Source infoApache Version 2; enterprise edition 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 languageJavaJavaNode.jsC++ and CUDAC++, Go
Server operating systemsLinuxLinux
OS X
LinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesdynamic schemayes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyes infoJSON data typesyesVector, 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.nononono
Secondary indexesnoyesnono
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like query languageSQL-like data manipulation statementsyesno
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Thrift
Vega
RESTful HTTP API
Supported programming languagesGo
Java
PHP
Python
R
Ruby
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
All languages supporting JDBC/ODBC/Thrift
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresPythonyesCustom Functions infosince release 3.1nono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingA table resides as a whole on one (or more) nodes in a clusterSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infothe nodes on which a table resides can be definedMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardRole based access control and fine grained access rights
More information provided by the system vendor
atotiAxibaseHarperDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Milvus
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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atotiAxibaseHarperDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Milvus
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