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DBMS > Apache Drill vs. Coveo vs. Google Cloud Firestore vs. Heroic vs. HugeGraph

System Properties Comparison Apache Drill vs. Coveo vs. Google Cloud Firestore vs. Heroic vs. HugeGraph

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonCoveo  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHeroic  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA fast-speed and highly-scalable Graph DBMS
Primary database modelDocument store
Relational DBMS
Search engineDocument storeTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score2.28
Rank#114  Overall
#11  Search engines
Score7.85
Rank#51  Overall
#8  Document stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websitedrill.apache.orgwww.coveo.comfirebase.google.com/­products/­firestoregithub.com/­spotify/­heroicgithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdrill.apache.org/­docsdocs.coveo.comfirebase.google.com/­docs/­firestorespotify.github.io/­heroichugegraph.apache.org/­docs
DeveloperApache Software FoundationCoveoGoogleSpotifyBaidu
Initial release20122012201720142018
Current release1.20.3, January 20230.9
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
OS X
Windows
hostedhostedLinux
macOS
Unix
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesnoyesyesyes infovia Elasticsearchyes infoalso supports composite index and range index
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnononono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC++C#
Java
JavaScript
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Groovy
Java
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes, Firebase Rules & Cloud Functionsnoasynchronous Gremlin script jobs
Triggersnoyesyes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyesyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoUsing Cloud Dataflownovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyesnonoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyes
User concepts infoAccess controlDepending on the underlying data sourcegranular access controls, API key management, content filtersAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Users, roles and permissions

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More resources
Apache DrillCoveoGoogle Cloud FirestoreHeroicHugeGraph
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