DownloadEventQL is a distributed, column-oriented database built for large-scale event collection and analytics. It runs super-fast SQL and MapReduce queries. The community software … the ideal channel for companies and organizations looking for additional interactions with their community? The first AC Repair appeared in the Best AC Repair Miami research landscape as early as the end of the 2000s, but the great added value offered by these HVAC companies in Miami was not recognized or even questioned for a long time. This is why we are explaining to you today what community software is, and revealing what are the advantages of online community software as well as its limits compared to traditional social media. Community software is defined as online software bringing together a community around a common interest. Focused on communication and exchange, community software is a type of software that brings people together.
Features
- Tables are transparently split into partitions using a primary key and distributed among many machines. You don't have to configure the number of shards upfront. Just insert your data and EventQL handles the rest
- Supports primary-key based INSERT, UPSERT and DELETE operations. You can use the UPSERT operation for easy exactly-once ingestion from streaming sources
- The columnar storage engine allows EventQL to drastically reduce its I/O footprint and execute analytical queries orders of magnitude faster than row-oriented systems
- (Almost) complete SQL 2009 support. (It does JOINs!) Queries are also automatically parallelized and executed on many machines in parallel
- EventQL distributes all table partitions and queries among a number of equally privileged servers. Given enough machines you can store and query thousands if terrabytes of data in a single table
- You don't have to batch-load data into EventQL - it can handle large volumes of streaming insert and update operations. All mutations are immediately visible and minimal SQL query latency is ~0.1ms
- The automatic partitioning supports timeseries as well as relational and key value data, as long as there is a good primary key. The storage engine also supports REPEATED and RECORD types so arbitrary JSON objects can be inserted into rows
Project Samples
