Best OLAP Databases in South America

Greenplum Database®, an open-source data warehouse, is a fully featured, advanced, and fully functional data warehouse. It offers powerful and fast analytics on petabyte-scale data volumes. Greenplum Database is uniquely designed for big data analytics. It is powered by the most advanced cost-based query optimizer in the world, delivering high analytical query performance with large data volumes. The Apache 2 license is used to release Greenplum Database®. We would like to thank all of our community contributors. We are also open to new contributions. We encourage all contributions to the Greenplum Database community, no matter how small. Open-source, massively parallel data platform for machine learning, analytics, and AI. Rapidly create and deploy models to support complex applications in cybersecurity, predictive management, risk management, fraud detection, among other areas. The fully integrated, open-source analytics platform is now available.

Apache Druid, an open-source distributed data store, is Apache Druid. Druid's core design blends ideas from data warehouses and timeseries databases to create a high-performance real-time analytics database that can be used for a wide range of purposes. Druid combines key characteristics from each of these systems into its ingestion, storage format, querying, and core architecture. Druid compresses and stores each column separately, so it only needs to read the ones that are needed for a specific query. This allows for fast scans, ranking, groupBys, and groupBys. Druid creates indexes that are inverted for string values to allow for fast search and filter. Connectors out-of-the box for Apache Kafka and HDFS, AWS S3, stream processors, and many more. Druid intelligently divides data based upon time. Time-based queries are much faster than traditional databases. Druid automatically balances servers as you add or remove servers. Fault-tolerant architecture allows for server failures to be avoided.

SAP HANA Cloud (DBaaS) is a fully managed, in-memory cloud database. It is the cloud-based data foundation of SAP Business Technology Platform. It integrates data from across enterprises, enabling faster decisions based upon live data. Modern architectures allow you to build data solutions and gain real-time insights that are business-ready. The SAP HANA Cloud database is the data foundation of SAP Business Technology Platform. It offers the power and flexibility of SAP HANA in a cloud environment. Scale to meet your business needs, process all types of business data, and perform advanced analytics on live transactions for faster, better decision-making. Native integration allows you to connect to distributed data, develop tools and applications across clouds and on-premise, as well as store and manage volatile data. You can tap business-ready information by creating a single source of truth. This will enable security, privacy and anonymization with enterprise reliability.

Hydra is a column-oriented Postgres that is open source. No code changes required to query billions of rows. Hydra parallelizes, vectorizes, and aggregates (COUNTS, SUMs, AVGs) to deliver the speed that you've always desired on Postgres. Boost performance in every size! Hydra can be installed in just 5 minutes, without requiring any changes to your tools, extensions, syntax, data model or data model. Hydra Cloud allows for smooth sailing and fully managed operations. Different industries have different requirements. Take control of your analytics with powerful Postgres custom functions and extensions. Built by you for you. Hydra is the fastest Postgres on the market. Boost performance by using columnar storage, query parallelization, and vectorization.

Oxla is a new-generation Online Analytical Process (OLAP) Database engineered for high-speed processing and efficiency. Its all-in one architecture allows rapid deployment without external dependencies and allows users to insert data and query it seamlessly. Oxla is compatible both with the PostgreSQL SQL dialect and wire protocol, making it easy to integrate with existing tools and workflows. The platform excels at both real-time processing as well as handling large, complex query, making it ideal for diverse analytical tasks. Oxla's design is optimized for modern hardware, including multi-core architectural capabilities, delivering superior performance to traditional analytical databases. It offers flexible deployment, including self hosted and cloud-based options, and provides a 1-core license that grants access to core functionality. Oxla's pay as you go pricing model ensures cost effectiveness, allowing users only to pay for the resources that they use.

Imply is a real time analytics platform built on Apache Druid. It was designed to handle large scale, high performance OLAP (Online Analytical Processing). It provides real-time data ingestion and fast query performance. It also allows for complex analytical queries to be performed on massive datasets at low latency. Imply is designed for organizations who need interactive analytics, real time dashboards, and data driven decision-making. It offers a user-friendly data exploration interface, as well as advanced features like multi-tenancy and fine-grained controls for access. Imply's distributed architecture and scalability make it ideal for use cases such as streaming data analytics, real-time monitoring, and business intelligence.

You can query billions upon billions of rows with an in-memory columnar database and MPP architecture. Queries are distributed across all cluster nodes, allowing for linear scaling and advanced analytics. The fastest database for data analytics is made up of MPP, columnar storage, and in-memory. You can analyze data anywhere it is stored, whether you are using SaaS, cloud, hybrid, or on-premises deployments. Automatic query tuning reduces overhead and maintenance. You get more power for a fraction of the normal infrastructure costs with seamless integrations and performance efficiency. This social networking company was able to increase its performance by using smart, in-memory query processing. They processed 10B data sets per year. A single data repository and speed-engine to accelerate critical analytics, improving patient outcomes and the bottom line.

Choose from a wide range of SQL features to realise your applications from pure analytics to hybrid transactional/analytical processing. MonetDB returns queries in seconds, if not faster, when you are curious about your data and when you need to work efficiently. You can (re)use your code when you need specialised function: Use the hooks to add your user-defined functions to SQL, Python R, C/C++, or R. Join us to expand the MonetDB community that spans 130+ countries. We have students, teachers, researchers and small businesses. Join the most important Database in Analytical Jobs to surf the innovation! MonetDB's simple setup will quickly get your DBMS up to speed.

Presto is an open-source distributed SQL query engine that allows interactive analytic queries against any data source, from gigabytes up to petabytes.

InfobrightDB is a high performance enterprise database that leverages a columnar storage engine to allow business analysts to quickly and efficiently dissect data and obtain reports. InfoBrightDB can be deployed either on-premises or in the cloud.

Oracle Exadata is the best location to run Oracle Database. It simplifies digital transformations, increases database performance, and reduces costs. According to Wikibon's analysis, Oracle Exadata provides customers with greater availability, higher performance, and upto 40% lower costs. Customers can modernize their database infrastructure, move enterprise apps to the cloud, and quickly implement digital transformations with Oracle Cloud Infrastructure, Oracle Cloud@Customer and on-premises deployment options. Customers can run Oracle Database with Oracle Exadata. Customers can easily move workloads between their on-premises data centers, Cloud@Customer deployments and Oracle Cloud Infrastructure. This allows them to modernize their operations and reduce costs.

Easy cloud and on-premises testing of complex business assumptions allows you to make better decisions. Oracle Essbase empowers organizations to quickly generate insights from multidimensional data sets with what-if analysis and data visualization tools. Forecast company and departmental performance quickly and easily Business drivers are used to create and manage analytic apps. They can be used to model multiple what-if scenarios. You can manage workflows for multiple scenarios from one user interface. This allows for central submissions and approvals. Sandboxing allows you to quickly test and evaluate your models in order to determine which model is best for production. More than 100 pre-built mathematical functions are available for financial and business analysts that can be used to quickly derive new data.

Apache Kylin™, an open-source distributed Analytical Data Warehouse (Big Data), was created to provide OLAP (Online Analytical Processing), in this big data era. Kylin can query at near constant speed regardless of increasing data volumes by renovating the multi-dimensional cube, precalculation technology on Hadoop or Spark, and thereby achieving almost constant query speed. Kylin reduces query latency from minutes down to a fraction of a second, bringing online analytics back into big data. Kylin can analyze more than 10+ billion rows in less time than a second. No more waiting for reports to make critical decisions. Kylin connects Hadoop data to BI tools such as Tableau, PowerBI/Excel and MSTR. This makes Hadoop BI faster than ever. Kylin is an Analytical Data Warehouse and offers ANSI SQL on Hadoop/Spark. It also supports most ANSI SQL queries functions. Because of the low resource consumption for each query, Kylin can support thousands upon thousands of interactive queries simultaneously.

Pinot is designed to answer OLAP questions with low latency and immutable data. Pluggable indexing technologies: Sorted Index (Bitmap Index), Inverted Index. Trino and PrestoDB are both available for querying, but joins are not currently supported. SQL-like language that supports selection and aggregation, filtering as well as group by, order, and distinct queries on data. Both an offline and a real-time table are possible. Only use real-time table to cover segments where offline data is not yet available. Customize anomaly detection flow and notification flow to detect the right anomalies.

Processing and storage of tabular datasets, e.g. CSV or Parquet files. Large result set transfer to client. Large client/server installations are required for central enterprise data warehousing. Multiple concurrent processes can be used to write to a single database. DuckDB is a relational database management software (RDBMS). It is a system to manage data stored in relational databases. A relation is basically a mathematical term for a particular table. Each table is a named collection. Each row in a table has the same number of named columns. Each column is of a particular data type. Schemas are used to store tables, and a collection can be accessed to access the entire database.

QuestDB is a relational database that uses column-oriented databases. It can be used for event and time series data. It uses SQL with extensions to time series to aid in real-time analytics. These pages provide information about core concepts of QuestDB. They include setup steps, usage guides, as well as reference documentation for syntax, APIs, and configuration. This section explains the architecture of QuestDB and how it stores and queries data. It also introduces new capabilities and features that are unique to the system. The core feature of QuestDB is the designated timestamp. It enables partitioning and time-oriented language capabilities. The symbol type makes it easy to store and retrieve repetitive strings. QuestDB's storage model describes how it stores records and partitions within tables. Indexes can be used to provide faster access to specific columns. Partitions can be used to provide significant performance improvements in calculations and queries. SQL extensions enable time series analysis that is efficient and concise with a concise syntax.

In-data computing is at the core of our innovation. It's a technology that allows us to process large quantities of data efficiently. BigObject, our flagship product, is a time-series database that was developed to handle massive data at high speed. Our core technology, in-data computing enabled us to launch BigObject. It can handle non-stop data streams and all their aspects quickly and continuously. BigObject is an in-data database designed for high-speed data storage and analysis. It has excellent performance and powerful query capabilities. It extends the relational data model to a time series model structure and uses in-data computing for database performance optimization. Our core technology is a model abstract in which all data are stored in an infinite memory space.

A fully managed PostgreSQL-compatible database service for your most demanding enterprise workloads. AlloyDB combines PostgreSQL and Google's best features for performance, scale, availability, and superior performance. PostgreSQL is fully compatible, allowing you to move your workloads anywhere. Transactional workloads are 4x faster with PostgreSQL. Fast real-time insights and up to 100x faster analytical query speeds than standard PostgreSQL. AlloyDB AI helps you create a variety of AI applications. AlloyDB Omni, a downloadable version of AlloyDB, is designed to run anywhere. Scale up to achieve predictable performance, a high availability SLA (including maintenance) of 99.99% for your most demanding enterprise workloads. Automated and machine-learning-enabled autopilots simplify management by handling database patches, backups and scaling.

Data Warehousing without Limits While legacy platforms such as Netezza struggle to remain relevant, and cloud-only options such as Snowflake are reliant on VMs running on commodity Hardware, Yellowbrick breaks down the ceilings on price/performance, deployment flexibility, and deployment flexibility across both on-premises environments and cloud environments. Pricing and Configurations Performance Security. Get 100X Performance Allow thousands of users to run ad-hoc queries 10x-100x faster that any legacy or cloud-only database warehouse, on PBs. You can also query real-time data and at-rest data simultaneously. Deploy Anywhere Easily deploy applications anywhere -- on-premises or in multiple public clouds. All with the same data and performance everywhere (with no data egress fees). Fixed-cost subscriptions are a great way to save millions. The more you run queries, the lower the cost per request.