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DBMS > atoti vs. Hazelcast vs. Qdrant vs. ScyllaDB

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

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHazelcast  Xexclude from comparisonQdrant  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A widely adopted in-memory data gridA high-performance vector database with neural network or semantic-based matchingCassandra and DynamoDB compatible wide column store
Primary database modelObject oriented DBMSKey-value storeVector DBMSWide column store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#11  Object oriented DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score1.28
Rank#167  Overall
#8  Vector DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Websiteatoti.iohazelcast.comgithub.com/­qdrant/­qdrant
qdrant.tech
www.scylladb.com
Technical documentationdocs.atoti.iohazelcast.org/­imdg/­docsqdrant.tech/­documentationdocs.scylladb.com
DeveloperActiveViamHazelcastQdrantScyllaDB
Initial release200820212015
Current release5.3.6, November 2023ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2; commercial licenses availableOpen 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 languageJavaJavaRustC++
Server operating systemsAll OS with a Java VMDocker
Linux
macOS
Windows
Linux
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Booleanyes
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.yes infothe object must implement a serialization strategynono
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-textyes infocluster global secondary indices
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like query languagenoSQL-like DML and DDL statements (CQL)
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
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++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
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 proceduresPythonyes infoEvent Listeners, Executor Servicesyes, Lua
Triggersyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapCollection-level replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual 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 dataone or two-phase-commit; repeatable reads; read commitedno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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 controlRole-based access controlKey-based authenticationAccess rights for users can be defined per object
More information provided by the system vendor
atotiHazelcastQdrantScyllaDB
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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