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DBMS > AlaSQL vs. CrateDB vs. ScyllaDB vs. Tarantool vs. TypeDB

System Properties Comparison AlaSQL vs. CrateDB vs. ScyllaDB vs. Tarantool vs. TypeDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonCrateDB  Xexclude from comparisonScyllaDB  Xexclude from comparisonTarantool  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionJavaScript DBMS libraryDistributed Database based on LuceneCassandra and DynamoDB compatible wide column storeIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelDocument store
Relational DBMS
Document store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Wide column storeDocument store
Key-value store
Relational DBMS
Graph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsRelational DBMSKey-value storeSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#259  Overall
#40  Document stores
#120  Relational DBMS
Score0.73
Rank#229  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score5.27
Rank#67  Overall
#5  Wide column stores
Score1.67
Rank#150  Overall
#25  Document stores
#25  Key-value stores
#69  Relational DBMS
Score0.81
Rank#217  Overall
#19  Graph DBMS
#99  Relational DBMS
Websitealasql.orgcratedb.comwww.scylladb.comwww.tarantool.iotypedb.com
Technical documentationgithub.com/­AlaSQL/­alasqlcratedb.com/­docsdocs.scylladb.comwww.tarantool.io/­en/­doctypedb.com/­docs
DeveloperAndrey Gershun & Mathias R. WulffCrateScyllaDBVKVaticle
Initial release20142013201520082016
Current releaseScyllaDB Open Source 5.4.1, January 20242.10.0, May 20222.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen SourceOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaScriptJavaC++C and C++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinuxBSD
Linux
macOS
Linux
OS X
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columnsyes
Typing infopredefined data types such as float or datenoyesyesstring, double, decimal, uuid, integer, blob, boolean, datetimeyes
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 indexesnoyesyes infocluster global secondary indicesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yes, but no triggers and constraints, and PostgreSQL compatibilitySQL-like DML and DDL statements (CQL)Full-featured ANSI SQL supportno
APIs and other access methodsJavaScript APIADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Open binary protocolgRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesJavaScript.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
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
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnouser defined functions (Javascript)yes, LuaLua, C and SQL stored proceduresno
Triggersyesnonoyes, before/after data modification events, on replication events, client session eventsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.Sharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesnoneConfigurable replication on table/partition-levelselectable replication factor infoRepresentation of geographical distribution of servers is possibleAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
Multi-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Read-after-write consistency on record level
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Casual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyesno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageno infounique row identifiers can be used for implementing an optimistic concurrency control strategyno infoAtomicity and isolation are supported for single operationsACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes, write ahead loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoin-memory tablesyes, full featured in-memory storage engine with persistenceno
User concepts infoAccess controlnorights management via user accountsAccess rights for users can be defined per objectAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
yes infoat REST API level; other APIs in progress
More information provided by the system vendor
AlaSQLCrateDBScyllaDBTarantoolTypeDB infoformerly named Grakn
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
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Highly-performant (efficiently utilizes full resources of a node and network; millions...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
ScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
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ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
AlaSQLCrateDBScyllaDBTarantoolTypeDB infoformerly named Grakn
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Data processing speed and reliability: in-memory synchronous replication
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