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DBMS > CrateDB vs. Fujitsu Enterprise Postgres vs. LeanXcale vs. SAP Adaptive Server

System Properties Comparison CrateDB vs. Fujitsu Enterprise Postgres vs. LeanXcale vs. SAP Adaptive Server

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonLeanXcale  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparison
DescriptionDistributed Database based on LuceneEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Spatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#10  Vector DBMS
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score35.09
Rank#25  Overall
#17  Relational DBMS
Websitecratedb.comwww.postgresql.fastware.comwww.leanxcale.comwww.sap.com/­products/­technology-platform/­sybase-ase.html
Technical documentationcratedb.com/­docswww.postgresql.fastware.com/­product-manualshelp.sap.com/­docs/­SAP_ASE
DeveloperCratePostgreSQL Global Development Group, Fujitsu Australia Software TechnologyLeanXcaleSAP, Sybase
Initial release201320151987
Current releaseFujitsu Enterprise Postgres 14, January 202216.0
License infoCommercial or Open SourceOpen Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC and C++
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
Windows
AIX
HP-UX
Linux
Solaris
Unix
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityyesyes infothrough Apache Derbyyes
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languages.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
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
Java
Scala
C
C++
Cobol
Java
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresuser defined functions (Javascript)user defined functionsJava and Transact-SQL
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and by hashhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
CrateDBFujitsu Enterprise PostgresLeanXcaleSAP Adaptive Server infoformer name: Sybase ASE
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