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DBMS > Coveo vs. Firebase Realtime Database vs. H2 vs. HEAVY.AI vs. XTDB

System Properties Comparison Coveo vs. Firebase Realtime Database vs. H2 vs. HEAVY.AI vs. XTDB

Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonH2  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelSearch engineDocument storeRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score14.29
Rank#39  Overall
#6  Document stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.coveo.comfirebase.google.com/­products/­realtime-databasewww.h2database.comgithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.coveo.comfirebase.google.com/­docs/­databasewww.h2database.com/­html/­main.htmldocs.heavy.aiwww.xtdb.com/­docs
DeveloperCoveoGoogle infoacquired by Google 2014Thomas MuellerHEAVY.AI, Inc.Juxt Ltd.
Initial release20122012200520162019
Current release2.2.220, July 20235.10, January 20221.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2; enterprise edition availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ and CUDAClojure
Server operating systemshostedhostedAll OS with a Java VMLinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes, extensible-data-notation format
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 indexesyesyesyesnoyes
SQL infoSupport of SQLnonoyesyeslimited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
Thrift
Vega
HTTP REST
JDBC
Supported programming languagesC#
Java
JavaScript
Python
Java
JavaScript
Objective-C
JavaAll languages supporting JDBC/ODBC/Thrift
Python
Clojure
Java
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'Java Stored Procedures and User-Defined Functionsnono
TriggersyesCallbacks are triggered when data changesyesnono
Partitioning methods infoMethods for storing different data on different nodesyesnoneSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlgranular access controls, API key management, content filtersyes, based on authentication and database rulesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
CoveoFirebase Realtime DatabaseH2HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022XTDB infoformerly named Crux
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