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DBMS > EJDB vs. GBase vs. Ignite vs. Milvus vs. Pinecone

System Properties Comparison EJDB vs. GBase vs. Ignite vs. Milvus vs. Pinecone

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonGBase  Xexclude from comparisonIgnite  Xexclude from comparisonMilvus  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Apache 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 searchesA managed, cloud-native vector database
Primary database modelDocument storeRelational DBMSKey-value store
Relational DBMS
Vector DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Websitegithub.com/­Softmotions/­ejdbwww.gbase.cnignite.apache.orgmilvus.iowww.pinecone.io
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdapacheignite.readme.io/­docsmilvus.io/­docs/­overview.mddocs.pinecone.io/­docs/­overview
DeveloperSoftmotionsGeneral Data Technology Co., Ltd.Apache Software FoundationPinecone Systems, Inc
Initial release20122004201520192019
Current releaseGBase 8a, GBase 8s, GBase 8cApache Ignite 2.62.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
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 languageCC, Java, PythonC++, Java, .NetC++, Go
Server operating systemsserver-lessLinuxLinux
OS X
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hosted
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesVector, Numeric and StringString, Number, Boolean
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.yesyesnono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoStandard with numerous extensionsANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsin-process shared libraryADO.NET
C API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIRESTful HTTP API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#C#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Python
Server-side scripts infoStored proceduresnouser defined functionsyes (compute grid and cache interceptors can be used instead)no
Triggersnoyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
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 controlnoyesSecurity Hooks for custom implementationsRole based access control and fine grained access rights
More information provided by the system vendor
EJDBGBaseIgniteMilvusPinecone
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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EJDBGBaseIgniteMilvusPinecone
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