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DBMS > AlaSQL vs. Amazon Neptune vs. Apache Impala vs. InfinityDB vs. PostGIS

System Properties Comparison AlaSQL vs. Amazon Neptune vs. Apache Impala vs. InfinityDB vs. PostGIS

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonApache Impala  Xexclude from comparisonInfinityDB  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionJavaScript DBMS libraryFast, reliable graph database built for the cloudAnalytic DBMS for HadoopA Java embedded Key-Value Store which extends the Java Map interfaceSpatial extension of PostgreSQL
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Relational DBMSKey-value storeSpatial DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Websitealasql.orgaws.amazon.com/­neptuneimpala.apache.orgboilerbay.compostgis.net
Technical documentationgithub.com/­AlaSQL/­alasqlaws.amazon.com/­neptune/­developer-resourcesimpala.apache.org/­impala-docs.htmlboilerbay.com/­infinitydb/­manualpostgis.net/­documentation
DeveloperAndrey Gershun & Mathias R. WulffAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaBoiler Bay Inc.
Initial release20142017201320022005
Current release4.1.0, June 20224.03.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache Version 2commercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++JavaC
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinuxAll OS with a Java VM
Data schemeschema-freeschema-freeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or datenoyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.nonononoyes
Secondary indexesnonoyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noSQL-like DML and DDL statementsnoyes
APIs and other access methodsJavaScript APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesJavaScriptC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCJava
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reducenouser defined functions
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnoneyes infobased on PostgreSQL
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.selectable replication factornoneyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnono infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDnoACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlnoAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles infobased on Apache Sentry and Kerberosnoyes infobased on PostgreSQL

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More resources
AlaSQLAmazon NeptuneApache ImpalaInfinityDBPostGIS
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