Database Software in Bengaluru

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ACD/Labs NMR data libraries give chemists access to meticulously examined experimental NMR data, complete with assigned structures and references. Databases are available for 1H, 13C, 15N, 19F, and 31P (each of these databases is used for the appropriate ACD/Labs Predictor). Each standalone database contains chemical shifts, original literature references, molecular formula, molecular weight, and the IUPAC name for each structure record, and does not require purchase of any additional software. See DB statistics.Third-party Commercial Libraries Three sets of spectral NMR databases are available (1H and 13C) ACD/Polymer Database (439 records), the Aldrich NMR Library for ACD/Labs ( 35,000 records), and the Chenomx Metabolite Library for ACD/Labs (300 common metabolites found in biofluids). These databases require ACD/1D NMR Manager for access and browsing, and have many of the search features available for ACD/Labs NMR Databases. ACD/1D NMR Manager also allows you to recreate the FID, re-process, and analyze individual spectra.FeaturesSearch by chemical shift, coupling constants, molecular formula, molecular weight, or spin systemSearch for exact structure or substructure matches. Identify fragments from successive substructure searches through color-coded highlights.Perform structure similarity searches by the Tanimoto, Cosine, Dice, Hamming Distance, and Euclidean Distance algorithms to find exact matches and related structuresSearch the database for more stable tautomers when performing a structure searchVarious result viewing options review a single record, browse multiple databases in table view or tile view, and select records interactively BenefitsQuickly identify unknowns and impuritiesCheck starting materials before beginning large/involved synthesesEase dereplication and elucidation problemsReduce instrument time, and narrow down the experimental acquisition range for 15N NMR experiments

Our database administrators helps in executing the services for Database Management System for the clients. They are engaged in configuration and administration of various database servers. These professionals hold expertise in developing advanced database applications and also specialize in offering custom designed software web development applications for our clients. We develop these applications on the basis of various languages such as MS SQL Server 2000/2005, MySQL, Oracle, Microsoft Access, Postgres, Sybase, ErWin and Rational Rose. Moreover, we also provide database designing for adding new functionality to existing database, database migration, performance tuning, and XML.

PostgreSQL, often simply Postgres, is an open source object-relational database management system (ORDBMS) with an emphasis on extensibility and standards compliance. It is released under the PostgreSQL License, a free/open source software license, similar to the MIT License. PostgreSQL is developed by the PostgreSQL Global Development Group, consisting of a handful of volunteers employed and supervised by companies such as Red Hat and EnterpriseDB. It implements the majority of the SQL:2011 standard, is ACID-compliant, is fully transactional (including all DDL statements), has extensible updateable views, data types, operators, index methods, functions, aggregates, procedural languages, and has a large number of extensions written by third parties. PostgreSQL is available for many platforms including Linux, FreeBSD, Solaris, Microsoft Windows and Mac OS X. The vast majority of Linux distributions have PostgreSQL available in supplied packages. OS X, starting with Lion, has PostgreSQL server as its standard default database in the server edition, and PostgreSQL client tools in the desktop edition. Features Immunity to over-deploymentBetter support than the proprietary vendorsSignificant saving on staffing costsLegendary reliability and stabilityExtensibleCross platformDesigned for high volume environmentsGUI database design and administration tools

Exafluence leverages our technology partnership with Mongo DB and our Virtual COE for MongoDB services in USA, marketed via the platform, to progressively enrich and expedite Data Model and Indexes Development and optimization at various stages of the project lifecycle, utilizing our proprietary tools and accelerators: EXF Health Check: to perform automated sanity environment checksEXF Meta Data - Repository to resolve issues around schema design, performance tuning, capacity planning, optimize data model and indexes for better performanceEXF Migration - for RDBMS to Mongo DB migrations to jumpstart development processMongo DB Upgrade Toolkit - for version upgradesEXF Visual Tool to showcase MongoDB metadata in Neo4j to understand the relationship with dataEXF Rhythm framework to move an existing MongoDB application to Mongo Cloud using step by step migration process to deploy to production.Our ETLs are built on MongoDB spark connectors and deployed on Cloud platforms like AWS, Azure and GCP. We also deploy MongoDB development services in USA on other distribution frameworks like Horton, Cloudera, MAP R and DatabricksOur Provider MDM and EMPI MDM records are built on MongoDB Atlas and mobile applications leveraging Mongo DB Atlas, MongoDB Spark and MongoDB Stitch.We have enhanced security for Mongo DB connection to encrypt and decrypt data on the fly leveraging our API's built with partner solution frameworkWe have a tool to visually showcase Mongo DB metadata in Neo4j graphDB to understand the relationship with data

LLC204: MySQL on LinuxLLC209: PostgreSQL on LinuxLLC210: MongoDBLLC212: MariaDB

DD3410 Software Base

Database Management System

Data Management Software

Distributed Databases

Softwares

NetPro is a comprehensive database of Protein-Protein and Protein-Small molecules interaction, consisting of more than 320,000 interactions captured from more than 1500 abstracts, approximately 1600 published journals and more than 60,000 references. The strength of NetPro lies in the complete manual curation of literature. It covers several entities other than proteins as interacting partners, like RNA, DNA, processes, etc. with well defined, exhaustive interaction terms. NetPro has received several accolades for the quality and quantity of data it contains. It has become an important resource for target identification, validation and pathway research and has subscribers from all over the globe including 3 of the top 5 pharmas. Highly Granular Data contentStandard terms and exhaustive controlled vocabulary, mostly sourced from public domain20 species covered9 major classes of interactions covering both direct and indirect typesKinetic parameters, pharmacokinetics/pharmacodynamics values, dose response details etcHierarchical display of experimental location to sub cellular level and detection methods (90 unique detection methods)Functional classification of proteins in Gene Ontology termsA'molecule-entity-universe', a relational network of proteins and small molecules that enables relating different molecules

XIP is a server application, which can be configured to perform matches between identity records in a source table resident in any industry-standard (ODBC compliant) RDBMS, and any number of identity records in one or more tables in the same, or other remote databases. The system can be configured to run on-line, or in batch-mode. In the on-line mode, the XIP system can perform a search against pre-defined sets of tables as soon as a new source record is presented, and produce a 'cluster' report. In the batch-mode, it can be configured to begin search when a batch of source records accumulate in a source table.

Enhanced database creation including detailed modelling of power system components. Use of advanced techniques for all studies. Studies at your fingertips - once database is created accurately any study can be conducted. User defined number of contingencies and Schedules. Splitting of database into two groups - element information and library information - avoids repetitive entry of power system elements having same parameters. Toggling Facility - Database to Network editor, Database to Graph to facilitate easier navigation.

Enable the agile management of data operations in a diverse landscape across your organization. Deploy an enterprise-ready solution that provides governance and orchestration for data refinement and enrichment by pipelining complex data processing operations such as machine learning.Data refined and enriched in one placeProcessing of data at the sourceNo need for mass data movementAll components executed on Kubernetes