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DBMS > AlaSQL vs. AnzoGraph DB vs. atoti vs. CrateDB

System Properties Comparison AlaSQL vs. AnzoGraph DB vs. atoti vs. CrateDB

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonatoti  Xexclude from comparisonCrateDB  Xexclude from comparison
DescriptionJavaScript DBMS libraryScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Distributed Database based on Lucene
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Object oriented DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Websitealasql.orgcambridgesemantics.com/­anzographatoti.iocratedb.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.atoti.iocratedb.com/­docs
DeveloperAndrey Gershun & Mathias R. WulffCambridge SemanticsActiveViamCrate
Initial release201420182013
Current release2.3, January 2021
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infofree trial version availablecommercial infofree versions availableOpen Source
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.
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.
Implementation languageJavaScriptJavaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator support
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoyes
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 indexesnonoyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SPARQL and SPARQL* as primary query language. Cypher preview.Multidimensional Expressions (MDX)yes, but no triggers and constraints, and PostgreSQL compatibility
APIs and other access methodsJavaScript APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Supported programming languagesJavaScriptC++
Java
Python
.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
Server-side scripts infoStored proceduresnouser defined functions and aggregatesPythonuser defined functions (Javascript)
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication in MPP-ClusterConfigurable replication on table/partition-level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency in MPP-ClusterEventual Consistency
Read-after-write consistency on record level
Foreign keys infoReferential integrityyesno infonot needed in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategy
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlnoAccess rights for users and rolesrights management via user accounts
More information provided by the system vendor
AlaSQLAnzoGraph DBatotiCrateDB
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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More resources
AlaSQLAnzoGraph DBatotiCrateDB
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