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DBMS > BigObject vs. Cachelot.io vs. QuestDB vs. ScyllaDB

System Properties Comparison BigObject vs. Cachelot.io vs. QuestDB vs. ScyllaDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCachelot.io  Xexclude from comparisonQuestDB  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesIn-memory caching systemA high performance open source SQL database for time series dataCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeTime Series DBMSWide column store
Secondary database modelsRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.04
Rank#388  Overall
#62  Key-value stores
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Websitebigobject.iocachelot.ioquestdb.iowww.scylladb.com
Technical documentationdocs.bigobject.ioquestdb.io/­docsdocs.scylladb.com
DeveloperBigObject, Inc.QuestDB Technology IncScyllaDB
Initial release2015201520142015
Current releaseScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoSimplified BSD LicenseOpen 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 languageC++Java (Zero-GC), C++, RustC++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
FreeBSD
Linux
OS X
Linux
macOS
Windows
Linux
Data schemeyesschema-freeyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesnonoyes infocluster global secondary indices
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL with time-series extensionsSQL-like DML and DDL statements (CQL)
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Memcached protocolHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
For 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 proceduresLuanonoyes, Lua
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication with eventual consistencyselectable 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 systemnonenoneImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID for single-table writesno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infothrough memory mapped filesyes infoin-memory tables
User concepts infoAccess controlnonoAccess rights for users can be defined per object
More information provided by the system vendor
BigObjectCachelot.ioQuestDBScyllaDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Highly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
ScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Discord, 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 modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BigObjectCachelot.ioQuestDBScyllaDB
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