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DBMS > Amazon Neptune vs. Apache Impala vs. SAP Adaptive Server vs. STSdb vs. XTDB

System Properties Comparison Amazon Neptune vs. Apache Impala vs. SAP Adaptive Server vs. STSdb vs. XTDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Impala  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSTSdb  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAnalytic DBMS for HadoopThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSKey-value storeDocument store
Secondary database modelsDocument storeSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score37.12
Rank#25  Overall
#17  Relational DBMS
Score0.06
Rank#365  Overall
#55  Key-value stores
Score0.09
Rank#351  Overall
#47  Document stores
Websiteaws.amazon.com/­neptuneimpala.apache.orgwww.sap.com/­products/­technology-platform/­sybase-ase.htmlgithub.com/­STSSoft/­STSdb4github.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesimpala.apache.org/­impala-docs.htmlhelp.sap.com/­docs/­SAP_ASEwww.xtdb.com/­docs
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaSAP, SybaseSTS Soft SCJuxt Ltd.
Initial release20172013198720112019
Current release4.1.0, June 202216.04.0.8, September 20151.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoGPLv2, commercial license availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C#Clojure
Server operating systemshostedLinuxAIX
HP-UX
Linux
Solaris
Unix
Windows
WindowsAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)yes, 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.nononono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesnolimited SQL, making use of Apache Calcite
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
.NET Client APIHTTP REST
JDBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCC
C++
Cobol
Java
Java
Perl
PHP
Python
C#
Java
Clojure
Java
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceJava and Transact-SQLnono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-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 factorMulti-source replication
Source-replica replication
noneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes, 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.no
User concepts infoAccess controlAccess 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 Kerberosfine grained access rights according to SQL-standardno

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More resources
Amazon NeptuneApache ImpalaSAP Adaptive Server infoformer name: Sybase ASESTSdbXTDB infoformerly named Crux
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