--- description: OpenText Analytics Database : avantages et inconvénients. Lisez les avis clients, consultez les prix et découvrez les fonctionnalités. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: OpenText Analytics Database - Avis, notes, prix et abonnements - Capterra Canada 2026 --- Breadcrumb: [Accueil](/) > [Logiciels de gestion de base de données](/directory/18/database-management/software) > [OpenText Analytics Database](/software/77111/vertica-analytics-platform) # OpenText Analytics Database Canonical: https://fr.capterra.ca/software/77111/vertica-analytics-platform > Architecture de SGBDR orientée colonnes offrant des performances de requête ad hoc très rapides pour les datamarts et les entrepôts de données. > > Conclusion : 5 utilisateurs lui ont donné la note de **4.8/5**. Figure au meilleur classement pour **Probabilité de recommander le produit**. ----- ## Présentation ### Qui utilise OpenText Analytics Database? S'adresse à des utilisateurs de technologies existantes qui cherchent à améliorer capacité d'évolution et la performance de leur entrepôt de données. ## Statistiques et notes | Métrique | Notation | En détail | | **Note globale** | **4.8/5** | 5 Avis | | Simplicité | 4.2/5 | D'après l'ensemble des avis | | Support client | 4.2/5 | D'après l'ensemble des avis | | Rapport qualité-prix | 4.3/5 | D'après l'ensemble des avis | | Fonctionnalités | 4.4/5 | D'après l'ensemble des avis | | Pourcentage de recommandation | 90% | (9/10 Probabilité de recommander le produit) | ## À propos du vendeur - **Entreprise**: OpenText - **Fondé**: 2004 ## Contexte commercial - **Type de licence**: (Version gratuite disponible) (Version d’essai gratuite) - **Public cible**: 51–200, 201–500, 501–1 000, 1 001–5 000, 5 001–10 000, 10 000+ - **Déploiement et plateformes**: Cloud, SaaS, web, Windows (sur site) - **Langues**: anglais - **Pays disponibles**: Canada, Royaume-Uni ## Fonctionnalités - Analyse prédictive - Compatible avec divers languages de programmation - Connecteurs de données - Data discovery - ETL - Extract Transfer Load - Entreposage de données - Migration de données - Rapports et analyses - Réplication de données - Sauvegarde et récupération - Traitement des gros volumes - Visualisation de données ## Intégrations (1 au total) - SAS Viya ## Ressources d'aide - Service client/courriel - FAQ/forums - Base de connaissances - Support 24/7 (réponse directe) - Chat/Clavardage ## Category - [Logiciels de gestion de base de données](https://fr.capterra.ca/directory/18/database-management/software) ## Catégories connexes - [Logiciels de gestion de base de données](https://fr.capterra.ca/directory/18/database-management/software) - [Outils de big data](https://fr.capterra.ca/directory/30851/big-data/software) - [Logiciels d'analyse prédictive](https://fr.capterra.ca/directory/30945/predictive-analytics/software) - [Outils d'apprentissage automatique](https://fr.capterra.ca/directory/31103/machine-learning/software) - [Logiciels de data warehouse](https://fr.capterra.ca/directory/31116/data-warehouse/software) ## Logiciels similaires 1. [Google Cloud](https://fr.capterra.ca/software/170983/google-cloud-platform) — 4.7/5 (2262 reviews) 2. [Domo](https://fr.capterra.ca/software/119119/domo) — 4.3/5 (329 reviews) 3. [Grow](https://fr.capterra.ca/software/136247/grow) — 4.4/5 (400 reviews) 4. [EntelliFusion](https://fr.capterra.ca/software/207622/entellifusion) (0 reviews) 5. [OpenText Analytics Cloud](https://fr.capterra.ca/software/177019/opentext-analytics-suite) — 5.0/5 (1 reviews) ## Avis ### "Best Analytical Database I have ever used" — 5.0/5 > **Ruban** | *20 juin 2022* | Services et technologies de l'information | Taux de recommandation : 10.0/10 > > **Avantages**: Analytical features that is available with this DB. Ease of use with Text User Interface and UI. Deployment is very fast and easy to do. Integration support with almost all top ingress and egress platform like. Apache Kafka, Flume, Hadoop etc. Very efficient and easy to deploy multinode cluster. > > **Inconvénients**: Nothing I can think of, I was having node health issue alert even when the node was online. I need to upgrade to latest version and hope that issue has been addressed. > > I'm using vertical as a analytical dB for twitter sentiment analysis. I have used Flume to get twitter data and use R to move the data from Hadoop to vertica DB and do analytical function and project the data in tableau. ----- ### "Smart database management tool" — 5.0/5 > **Utilisateur vérifié** | *14 janvier 2023* | Services et technologies de l'information | Taux de recommandation : 9.0/10 > > **Avantages**: The robustness we get by using Vertica over other database management tools is a real game changer. We get stream of high volume data and the data needs to be processed at a rapid rate to keep up with the processes in the pipeline. Here, Vertica delivers on the expectations. > > **Inconvénients**: While Vertica is robust, there are data size limitations. After a certain threshold, the software breaks\! Although we are able to work around and make the floorplans such that this doesn't hamper live processes, but the data size limitations can kick-in. ----- ### "Database Management tool" — 4.0/5 > **Carine Sylvie** | *19 octobre 2023* | Marketing et publicité | Taux de recommandation : 7.0/10 > > **Avantages**: One of the best SQL database management tool. A good solution to store and manage data. > > **Inconvénients**: I have nothing particular to say against this tool. ----- ### "Vertica - Fastest MPP database to build data warehouses \!" — 5.0/5 > **Utilisateur vérifié** | *16 mars 2023* | Télécommunications | Taux de recommandation : 8.0/10 > > **Avantages**: The best MPP database one can get to build analytical data warehouses . The columnar database architecture helps to query the data from the databases very quickly and efficiently . The dimension modeling made easy with Vertica. > > **Inconvénients**: The GUI of the Vertica interface definitely needs improvement. The node manage can also be done better to perform snowflake architecture querying. > > MPP database to build good enterprise data warehouse. ----- ### "light weight platform that works very well" — 5.0/5 > **Utilisateur vérifié** | *15 février 2019* | Biotechnologie | Taux de recommandation : 9.0/10 > > **Avantages**: It is light weight and nimble but at the same time is good on performance - the fact that it is column store without the real need for indexing makes it easier to get started and then the storage requirement is also much smaller thanks to coding schemas and algorithms. > > **Inconvénients**: for me, the biggest issue was the fact that it really affects performance when we try to run many large concurrent queries - I wish there was a solution to this. In addition, initial cost of investment to get started on Vertica may discourage SMB's. > > We were looking for an analytics platform that can work concurrently with hadoop clusters that was focused on performance and could also be inter-changeably used as a data processing engine. ## Liens - [Afficher sur Capterra](https://fr.capterra.ca/software/77111/vertica-analytics-platform) ## Cette page est disponible dans les langues suivantes. | Langue | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | ----- ## Données structurées