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DBMS > AlaSQL vs. Amazon Neptune vs. AnzoGraph DB vs. H2 vs. XTDB

System Properties Comparison AlaSQL vs. Amazon Neptune vs. AnzoGraph DB vs. H2 vs. XTDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonH2  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionJavaScript DBMS libraryFast, reliable graph database built for the cloudScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Graph DBMS
RDF store
Relational DBMSDocument store
Secondary database modelsSpatial 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
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitealasql.orgaws.amazon.com/­neptunecambridgesemantics.com/­anzographwww.h2database.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationgithub.com/­AlaSQL/­alasqlaws.amazon.com/­neptune/­developer-resourcesdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.h2database.com/­html/­main.htmlwww.xtdb.com/­docs
DeveloperAndrey Gershun & Mathias R. WulffAmazonCambridge SemanticsThomas MuellerJuxt Ltd.
Initial release20142017201820052019
Current release2.3, January 20212.2.220, July 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercialcommercial infofree trial version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaClojure
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinuxAll OS with a Java VMAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeschema-freeSchema-free and OWL/RDFS-schema supportyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes, extensible-data-notation format
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 indexesnononoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noSPARQL and SPARQL* as primary query language. Cypher preview.yeslimited SQL, making use of Apache Calcite
APIs and other access methodsJavaScript APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesJavaScriptC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Java
Python
JavaClojure
Java
Server-side scripts infoStored proceduresnonouser defined functions and aggregatesJava Stored Procedures and User-Defined Functionsno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneAutomatic shardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Multi-source replication in MPP-ClusterWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsno infonot needed in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyes infowith encyption-at-restyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and rolesfine grained access rights according to SQL-standard

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More resources
AlaSQLAmazon NeptuneAnzoGraph DBH2XTDB infoformerly named Crux
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