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DBMS > atoti vs. Qdrant vs. RisingWave vs. ScyllaDB

System Properties Comparison atoti vs. Qdrant vs. RisingWave vs. ScyllaDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonQdrant  Xexclude from comparisonRisingWave  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A high-performance vector database with neural network or semantic-based matchingA distributed RDBMS for stream processing, wire-compatible with PostgreSQLCassandra and DynamoDB compatible wide column store
Primary database modelObject oriented DBMSVector DBMSRelational DBMSWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score1.53
Rank#145  Overall
#7  Vector DBMS
Score0.61
Rank#237  Overall
#111  Relational DBMS
Score4.15
Rank#69  Overall
#5  Wide column stores
Websiteatoti.iogithub.com/­qdrant/­qdrant
qdrant.tech
www.risingwave.com/­databasewww.scylladb.com
Technical documentationdocs.atoti.ioqdrant.tech/­documentationdocs.risingwave.com/­docs/­current/­introdocs.scylladb.com
DeveloperActiveViamQdrantRisingWave LabsScyllaDB
Initial release202120222015
Current release1.2, September 2023ScyllaDB Open Source 6.0.2, July 2024
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2.0Open Source infoApache Version 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 languageJavaRustRustC++
Server operating systemsDocker
Linux
macOS
Windows
Docker
Linux
macOS
Linux
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateNumbers, Strings, Geo, BooleanStandard SQL-types and JSONyes
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.nonono
Secondary indexesyes infoKeywords, numberic ranges, geo, full-textyesyes infocluster global secondary indices
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyesSQL-like DML and DDL statements (CQL)
APIs and other access methodsgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
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
Go
Java
JavaScript (Node.js)
Python
Rust
Go
Java
JavaScript (Node.js)
Python
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 proceduresPythonUDFs in Python or Javayes, Lua
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesCollection-level replicationselectable 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 systemEventual Consistency, tunable consistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infoin-memory tables
User concepts infoAccess controlKey-based authenticationUsers and RolesAccess rights for users can be defined per object
More information provided by the system vendor
atotiQdrantRisingWaveScyllaDB
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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