- Aerospike
- Akamas
- AlloyDB
- ApertureDB
- Arrow
- Azure Cosmos DB
- BigQuery
- Bodo
- Cassandra
- Chroma
- ClickHouse
- Confluent
- CouchDB
- CrocodileDB
- DataFusion
- Datomic
- Debezium
- Dolt
- Druid
- DuckDB
- EdgeDB
- Exon
- FASTER
- FeatureBase
- Feldera
- Fluree
- FoundationDB
- Gel
- Google Spanner
- Greenplum
- HarperDB
- HorizonDB
- Iceberg
- InfluxDB
- kdb
- ksqlDB
- LeanStore
- LMDB
- MapD
- Materialize
- Milvus
- MonetDB
- Mooncake
- Multigres
- Napa
- NoisePage
- NuoDB
- OpenDAL
- OtterTune
- OxQL
- Pinecone
- Pixeltable
- Polaris
- PostgreSQL
- Qdrant
- QuasarDB
- RavenDB
- RelationalAI
- RocksDB
- RonDB
- SalesForce
- ScyllaDB
- sled
- Smooth
- SpacetimeDB
- SpiceDB
- SplinterDB
- SQL Server
- SQLite
- Stardog
- Striim
- Swarm64
- Technical University of Munich
- TiDB
- TileDB
- Tokutek
- TopK
- turbopuffer
- Velox
- VillageSQL
- VoltDB
- Weaviate
- XTDB
- YugabyteDB
- AirFlow
- Alibaba
- Anna
- APOLLO
- Aurora DSQL
- Berkeley DB
- BlazingDB
- Brytlyt
- Chaos Mesh
- Citus
- CockroachDB
- Convex
- CrateDB
- Databricks
- Datometry
- dbt
- Delta Lake
- Dremio
- DSQL
- DVMS
- EraDB
- eXtremeDB
- Fauna
- Featureform
- Firebolt
- Fluss
- Gaia
- GlareDB
- GoogleSQL
- GreptimeDB
- Heron
- Hudi
- Impala
- Jepsen
- Kinetica
- LanceDB
- Litestream
- Malloy
- MariaDB
- MemSQL
- Modin
- MongoDB
- MotherDuck
- MySQL
- Neon
- Noria
- OceanBase
- Oracle
- Oxla
- ParadeDB
- Pinot
- PlanetScale
- PostgresML
- PRQL
- QMDB
- QuestDB
- Redshift
- RisingWave
- Rockset
- rqlite
- Samza
- SingleStore
- SLOG
- Snowflake
- Spice.ai
- Splice Machine
- SQL Anywhere
- SQLancer
- SQream
- StarRocks
- Summingbird
- Synnada
- TerminusDB
- TigerBeetle
- TimescaleDB
- TonicDB
- Trino
- Umbra
- Vertica
- Vitesse
- Vortex
- WiredTiger
- Yellowbrick
- Aerospike
- Alibaba
- ApertureDB
- Aurora DSQL
- BigQuery
- Brytlyt
- Chroma
- CockroachDB
- CouchDB
- Databricks
- Datomic
- Delta Lake
- Druid
- DVMS
- Exon
- Fauna
- Feldera
- Fluss
- Gel
- GoogleSQL
- HarperDB
- Hudi
- InfluxDB
- Kinetica
- LeanStore
- Malloy
- Materialize
- Modin
- Mooncake
- MySQL
- NoisePage
- OceanBase
- OtterTune
- ParadeDB
- Pixeltable
- PostgresML
- Qdrant
- QuestDB
- RelationalAI
- Rockset
- SalesForce
- SingleStore
- Smooth
- Spice.ai
- SplinterDB
- SQLancer
- Stardog
- Summingbird
- Technical University of Munich
- TigerBeetle
- Tokutek
- Trino
- Velox
- Vitesse
- Weaviate
- Yellowbrick
- AirFlow
- AlloyDB
- APOLLO
- Azure Cosmos DB
- BlazingDB
- Cassandra
- Citus
- Confluent
- CrateDB
- DataFusion
- dbt
- Dolt
- DSQL
- EdgeDB
- eXtremeDB
- FeatureBase
- Firebolt
- FoundationDB
- GlareDB
- Greenplum
- Heron
- Iceberg
- Jepsen
- ksqlDB
- Litestream
- MapD
- MemSQL
- MonetDB
- MotherDuck
- Napa
- Noria
- OpenDAL
- Oxla
- Pinecone
- PlanetScale
- PostgreSQL
- QMDB
- RavenDB
- RisingWave
- RonDB
- Samza
- sled
- Snowflake
- SpiceDB
- SQL Anywhere
- SQLite
- StarRocks
- Swarm64
- TerminusDB
- TileDB
- TonicDB
- turbopuffer
- Vertica
- VoltDB
- WiredTiger
- YugabyteDB
- Akamas
- Anna
- Arrow
- Berkeley DB
- Bodo
- Chaos Mesh
- ClickHouse
- Convex
- CrocodileDB
- Datometry
- Debezium
- Dremio
- DuckDB
- EraDB
- FASTER
- Featureform
- Fluree
- Gaia
- Google Spanner
- GreptimeDB
- HorizonDB
- Impala
- kdb
- LanceDB
- LMDB
- MariaDB
- Milvus
- MongoDB
- Multigres
- Neon
- NuoDB
- Oracle
- OxQL
- Pinot
- Polaris
- PRQL
- QuasarDB
- Redshift
- RocksDB
- rqlite
- ScyllaDB
- SLOG
- SpacetimeDB
- Splice Machine
- SQL Server
- SQream
- Striim
- Synnada
- TiDB
- TimescaleDB
- TopK
- Umbra
- VillageSQL
- Vortex
- XTDB
- Aerospike
- AlloyDB
- Arrow
- BigQuery
- Cassandra
- ClickHouse
- CouchDB
- DataFusion
- Debezium
- Druid
- EdgeDB
- FASTER
- Feldera
- FoundationDB
- Google Spanner
- HarperDB
- Iceberg
- kdb
- LeanStore
- MapD
- Milvus
- Mooncake
- Napa
- NuoDB
- OtterTune
- Pinecone
- Polaris
- Qdrant
- RavenDB
- RocksDB
- SalesForce
- sled
- SpacetimeDB
- SplinterDB
- SQLite
- Striim
- Technical University of Munich
- TileDB
- TopK
- Velox
- VoltDB
- XTDB
- AirFlow
- Anna
- Aurora DSQL
- BlazingDB
- Chaos Mesh
- CockroachDB
- CrateDB
- Datometry
- Delta Lake
- DSQL
- EraDB
- Fauna
- Firebolt
- Gaia
- GoogleSQL
- Heron
- Impala
- Kinetica
- Litestream
- MariaDB
- Modin
- MotherDuck
- Neon
- OceanBase
- Oxla
- Pinot
- PostgresML
- QMDB
- Redshift
- Rockset
- Samza
- SLOG
- Spice.ai
- SQL Anywhere
- SQream
- Summingbird
- TerminusDB
- TimescaleDB
- Trino
- Vertica
- Vortex
- Yellowbrick
- Akamas
- ApertureDB
- Azure Cosmos DB
- Bodo
- Chroma
- Confluent
- CrocodileDB
- Datomic
- Dolt
- DuckDB
- Exon
- FeatureBase
- Fluree
- Gel
- Greenplum
- HorizonDB
- InfluxDB
- ksqlDB
- LMDB
- Materialize
- MonetDB
- Multigres
- NoisePage
- OpenDAL
- OxQL
- Pixeltable
- PostgreSQL
- QuasarDB
- RelationalAI
- RonDB
- ScyllaDB
- Smooth
- SpiceDB
- SQL Server
- Stardog
- Swarm64
- TiDB
- Tokutek
- turbopuffer
- VillageSQL
- Weaviate
- YugabyteDB
- Alibaba
- APOLLO
- Berkeley DB
- Brytlyt
- Citus
- Convex
- Databricks
- dbt
- Dremio
- DVMS
- eXtremeDB
- Featureform
- Fluss
- GlareDB
- GreptimeDB
- Hudi
- Jepsen
- LanceDB
- Malloy
- MemSQL
- MongoDB
- MySQL
- Noria
- Oracle
- ParadeDB
- PlanetScale
- PRQL
- QuestDB
- RisingWave
- rqlite
- SingleStore
- Snowflake
- Splice Machine
- SQLancer
- StarRocks
- Synnada
- TigerBeetle
- TonicDB
- Umbra
- Vitesse
- WiredTiger
Oct 13
2014
DB Seminar [Fall 2014]: Thomas Marshall
- Speaker:
- Thomas Marshall
Big data processing can be expensive and slow, a problem made worse when your data set keeps changing, forcing you to reanalyze it repeatedly. Incremental computation can speed things up by minimizing the work that must be done to update output in response to changing input, but many previous efforts at incremental computation have been limited in the algorithms they... Read More
Oct 9
2014
MongoDB: Reinventing the Database Landscape (Andrew Morrow)
- Speaker:
- Andrew Morrow
- System:
- MongoDB
- Video:
- YouTube
MongoDB is the next-generation database that helps businesses transform their industries by harnessing the power of data. The world’s most sophisticated organizations, from cutting-edge startups to the largest companies, use MongoDB to create applications never before possible at a fraction of the cost of traditional databases. This talk will review the feature set of MongoDB and the history and rationale... Read More
Oct 6
2014
DB Seminar [Fall 2014]: Zhanpeng Fang
- Speaker:
- Zhanpeng Fang
Online gaming is one of the largest industries on the Internet, generating tens of billions of dollars in revenues annually. One core problem in online game is to find and convert free users into paying customers, which is of great importance for the sustainable development of almost all online games. Although much research has been conducted, there are still several... Read More
Oct 2
2014
Current and Future Challenges in Data Management (Seth Proctor)
- Speakers:
- Seth Proctor (CTO , NuoDB)
- System:
- NuoDB
- Video:
- YouTube
NuoDB is a relational, transactional database built around a fundamentally new architecture. The distributed nature of the system means that in addition to tackling traditional database problems it’s well-suited to support some new problems emerging in enterprise deployments. This talk will start with a short introduction to what makes NuoDB different, what the motivation was for the architecture and what... Read More
Sep 29
2014
DB Seminar [Fall 2014]: Alex Beutel
- Speaker:
- Alex Beutel
As we record growing amounts of increasingly detailed user actions and complex interactions, how can we understand and make use of the vast amount of user data? In order to make use of this growing user data, there are a number of technical hurdles: we must be able to understand and model our users, we must be able to handle... Read More
Sep 25
2014
Microsoft SQL Server’s In-Memory OLTP Architecture and Capabilities (Michael Zwilling)
- Speaker:
- Michael Zwilling
- System:
- SQL Server
- Video:
- YouTube
In-Memory OLTP (formerly known as Hekaton) is a key feature in the In-Memory offerings of Microsoft's SQL Server 2014 product. In this talk we will discuss the hardware trends, user scenarios, and history that prompted its key architectural pillars of main-memory optimization, lock/latch-free concurrency control and SQL compilation to native code, as well as how the technology is integrated into... Read More
Sep 22
2014
DB Seminar [Fall 2014]: Pengtao Xie
- Speaker:
- Pengtao Xie
Many graph mining and analysis services have been deployed on the cloud, including Neo4j, GraphDB, Dydra, Infinity Graph, GraphLab, System G, to name a few. Cloud based graph analytics can alleviate users from the burden of implementing and maintaining graph algorithms. However, it invades the security and privacy of users' graph data. To solve this problem, we propose CryptGraph, which runs graph analytics on encrypted graph... Read More
Sep 15
2014
DB Seminar [Fall 2014]: Joy Arulraj
- Speaker:
- Joy Arulraj
The advent of non-volatile memory (NVM) technologies will fundamentally change the dichotomy between transitory memory and durable storage in database management systems (DBMSs). These new NVM devices are almost as fast as DRAM but all writes are persistent even after power loss. Existing DBMSs are unable to take full advantage of this new technology because their internal architectures are predicated... Read More
Sep 11
2014
MemSQL: A Distributed In-Memory SQL Database (Ankur Goyal)
- Speaker:
- Ankur Goyal
- System:
- MemSQL
- Video:
- YouTube
This talk will cover the major architectural design decisions with discussion on specific technical details as well as the motivation behind the big decisions. We will cover lockfree, code generation, durability/replication, distributed query execution, and clustering in MemSQL. We will then discuss some of the new directions for the product. Part of the "Seven Databases in Seven Weeks" Seminar Series:... Read More
Sep 8
2014
DB Seminar: First Meeting 2014
This is the first meeting of the CMU DB Group for the Fall 2014 semester. There will not be a speaker. Instead, we will discuss the following agenda: Introductions Assigning roles: Managing Twitter, Website, Weekly Meetings Fall DB/PDL/SDI Seminar Series Christos' bacchanalian trip to Las Vegas All are welcome. Read More