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DBMS > Apache Impala vs. Heroic vs. LevelDB vs. Milvus vs. OushuDB

System Properties Comparison Apache Impala vs. Heroic vs. LevelDB vs. Milvus vs. OushuDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHeroic  Xexclude from comparisonLevelDB  Xexclude from comparisonMilvus  Xexclude from comparisonOushuDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA DBMS designed for efficient storage of vector data and vector similarity searchesA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning
Primary database modelRelational DBMSTime Series DBMSKey-value storeVector DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score0.10
Rank#355  Overall
#154  Relational DBMS
Websiteimpala.apache.orggithub.com/­spotify/­heroicgithub.com/­google/­leveldbmilvus.iowww.oushu.com/­product/­oushuDB
Technical documentationimpala.apache.org/­impala-docs.htmlspotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdmilvus.io/­docs/­overview.mdwww.oushu.com/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSpotifyGoogleOushu
Initial release2013201420112019
Current release4.1.0, June 20221.23, February 20212.3.4, January 20244.0.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoBSDOpen Source infoApache Version 2.0commercial
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++JavaC++C++, Go
Server operating systemsLinuxIllumos
Linux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoVector, 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.nononono
Secondary indexesyesyes infovia Elasticsearchnonoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnononoFull-featured ANSI SQL support
APIs and other access methodsJDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenononoyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononoHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate 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 datanonononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoRole based access control and fine grained access rightsKerberos, SSL and role based access
More information provided by the system vendor
Apache ImpalaHeroicLevelDBMilvusOushuDB
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
Apache ImpalaHeroicLevelDBMilvusOushuDB
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