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DBMS > BigObject vs. H2 vs. Heroic vs. ScyllaDB

System Properties Comparison BigObject vs. H2 vs. Heroic vs. ScyllaDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonH2  Xexclude from comparisonHeroic  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSTime Series DBMSWide column store
Secondary database modelsSpatial DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitebigobject.iowww.h2database.comgithub.com/­spotify/­heroicwww.scylladb.com
Technical documentationdocs.bigobject.iowww.h2database.com/­html/­main.htmlspotify.github.io/­heroicdocs.scylladb.com
DeveloperBigObject, Inc.Thomas MuellerSpotifyScyllaDB
Initial release2015200520142015
Current release2.2.220, July 2023ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaJavaC++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VMLinux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyes infovia Elasticsearchyes infocluster global secondary indices
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoSQL-like DML and DDL statements (CQL)
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesJavaFor CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresLuaJava Stored Procedures and User-Defined Functionsnoyes, Lua
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneWith clustering: 2 database servers on different computers operate on identical copies of a databaseyesselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infoin-memory tables
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users can be defined per object
More information provided by the system vendor
BigObjectH2HeroicScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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